The FLoem class stores the method, arguments and
observations that define the way observations are collected from an operating
model at each time step in the management procedure. This class extends
mseCtrl through the addition of two lists used to gather past and new
observations, and deviances to use on each step in the observation process.
Usage
FLoem(...)
FLoem(...)
observations(object, ...)
# S4 method for class 'FLoem'
observations(object, ...)
observations(object, i) <- value
# S4 method for class 'FLoem,missing,list'
observations(object) <- value
# S4 method for class 'FLoem,ANY,FLStock'
observations(object, i) <- value
# S4 method for class 'FLoem'
deviances(object, ...)
# S4 method for class 'FLoem,list'
deviances(object, ...) <- value
# S4 method for class 'FLoem'
show(object)
# S4 method for class 'FLoem'
iter(obj, iter)
# S4 method for class 'FLoem,FLoem'
combine(x, y, ..., check = FALSE)Slots
methodThe function to be run in the module call, class function.
argsArguments to be passed to the method, of class list.
observationsPast observations, class list.
deviancesObservation deviances, class list.
Accessors
All slots in the class have accessor and replacement methods defined that allow retrieving and substituting individual slots.
The values passed for replacement need to be of the class of that slot. A numeric vector can also be used when replacing FLQuant slots, and the vector will be used to substitute the values in the slot, but not its other attributes.
Constructor
A construction method exists for this class that can take named arguments for
any of its slots. All slots are then created to match the requirements of the
class validity. If an unnamed FLQuant object is provided, this is used
for sizing, but not for populating any slot.
Examples
data(sol274)
#> Warning: namespace ‘patchwork’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘dplyr’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘TMB’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘remotes’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘shiny’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘htmlwidgets’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘xtable’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘FLAssess’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘FLSRTMB’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
deviances(oem)
#> $stk
#> $stk$catch.n
#> An object of class "FLQuant"
#> iters: 100
#>
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961
#> 1 1.000(0.1896) 1.002(0.1232) 1.030(0.1348) 1.013(0.1545) 0.974(0.1417)
#> 2 0.998(0.1218) 1.023(0.1434) 0.990(0.1548) 0.964(0.1525) 1.012(0.1184)
#> 3 1.004(0.1401) 0.972(0.1319) 0.983(0.1377) 0.994(0.1606) 0.995(0.1253)
#> 4 1.020(0.1386) 1.002(0.1608) 0.992(0.1298) 1.014(0.1393) 1.023(0.1296)
#> 5 1.024(0.1192) 1.053(0.1401) 1.024(0.1454) 1.045(0.1388) 1.014(0.1438)
#> 6 1.020(0.1485) 1.009(0.1345) 0.992(0.1204) 0.981(0.1368) 0.990(0.1599)
#> 7 1.002(0.1514) 0.988(0.1267) 0.997(0.1405) 1.010(0.1598) 1.032(0.1626)
#> 8 0.989(0.1425) 0.996(0.1320) 1.021(0.1426) 1.010(0.1397) 1.007(0.1707)
#> 9 0.979(0.1611) 1.000(0.1827) 1.008(0.1655) 1.001(0.1332) 0.985(0.1379)
#> 10 1.032(0.1300) 0.966(0.1306) 0.999(0.1546) 1.004(0.1382) 1.006(0.1440)
#> year
#> age 1962 1963 1964 1965 1966
#> 1 1.036(0.1411) 0.995(0.1499) 0.981(0.1453) 1.037(0.1561) 0.985(0.1377)
#> 2 1.044(0.1370) 1.017(0.1489) 0.966(0.1404) 1.004(0.1638) 0.995(0.1418)
#> 3 0.980(0.1237) 1.026(0.1699) 0.980(0.1501) 0.980(0.1217) 0.989(0.1466)
#> 4 0.976(0.1598) 0.985(0.0959) 1.001(0.1219) 0.990(0.1817) 1.003(0.1446)
#> 5 0.982(0.1368) 1.010(0.1451) 1.018(0.1700) 0.960(0.1647) 0.993(0.1406)
#> 6 0.991(0.1249) 1.014(0.1463) 0.976(0.1398) 1.006(0.1444) 1.012(0.1164)
#> 7 0.985(0.1257) 0.988(0.1232) 1.017(0.1434) 1.011(0.1366) 0.980(0.1440)
#> 8 1.016(0.1923) 1.022(0.1585) 0.996(0.1238) 1.027(0.1632) 0.998(0.1588)
#> 9 1.029(0.1678) 1.000(0.1576) 0.982(0.1669) 1.015(0.1644) 1.035(0.1587)
#> 10 1.008(0.1597) 0.985(0.1887) 1.032(0.1247) 0.984(0.1453) 1.005(0.1953)
#> year
#> age 1967 1968 1969 1970 1971
#> 1 0.977(0.1194) 0.995(0.1571) 0.999(0.1723) 1.009(0.1428) 1.049(0.1471)
#> 2 1.005(0.1524) 1.003(0.1804) 0.979(0.1378) 1.004(0.1467) 0.965(0.1377)
#> 3 1.012(0.1635) 0.984(0.1331) 1.006(0.1506) 1.022(0.1380) 1.010(0.1613)
#> 4 1.028(0.1628) 0.977(0.1151) 1.034(0.1727) 1.000(0.1505) 0.996(0.1316)
#> 5 1.000(0.1748) 0.994(0.1437) 0.970(0.1487) 1.017(0.1472) 1.000(0.1110)
#> 6 0.993(0.1533) 0.978(0.1438) 0.981(0.1790) 0.986(0.1502) 0.988(0.1827)
#> 7 1.042(0.1590) 1.000(0.1353) 0.987(0.1100) 1.004(0.1613) 0.992(0.1720)
#> 8 0.997(0.1291) 0.986(0.1512) 0.985(0.1142) 0.986(0.1598) 1.016(0.1182)
#> 9 1.015(0.1460) 1.001(0.1658) 1.019(0.1823) 1.047(0.1728) 1.015(0.1756)
#> 10 1.006(0.1345) 1.000(0.1656) 1.003(0.1419) 1.022(0.1603) 1.049(0.1644)
#> year
#> age 1972 1973 1974 1975 1976
#> 1 0.985(0.1850) 0.989(0.1571) 0.980(0.1419) 0.994(0.1355) 0.982(0.1642)
#> 2 1.011(0.1310) 0.978(0.1542) 1.028(0.1323) 0.994(0.1361) 1.006(0.1518)
#> 3 1.001(0.1521) 1.047(0.1361) 1.015(0.1356) 0.987(0.1456) 1.002(0.1680)
#> 4 0.992(0.1346) 0.987(0.1739) 1.028(0.1223) 1.025(0.1535) 1.004(0.1419)
#> 5 1.009(0.1283) 0.992(0.1429) 1.021(0.1485) 0.987(0.1506) 0.991(0.1785)
#> 6 0.990(0.1833) 0.986(0.1461) 0.986(0.1735) 0.985(0.1549) 1.011(0.1526)
#> 7 1.007(0.1645) 1.022(0.1443) 1.009(0.1760) 0.998(0.1437) 1.021(0.1548)
#> 8 0.982(0.1430) 0.997(0.1744) 1.005(0.1295) 1.008(0.1404) 1.023(0.1650)
#> 9 1.011(0.1448) 0.990(0.1421) 1.028(0.1271) 0.994(0.1598) 1.022(0.1440)
#> 10 1.026(0.1386) 1.007(0.1473) 1.002(0.1324) 0.979(0.1217) 1.017(0.1365)
#> year
#> age 1977 1978 1979 1980 1981
#> 1 1.036(0.1675) 0.989(0.1371) 1.018(0.1557) 1.006(0.1587) 1.028(0.1655)
#> 2 1.032(0.1647) 0.991(0.1491) 0.989(0.1674) 0.990(0.1430) 1.032(0.1884)
#> 3 0.996(0.1293) 0.982(0.1660) 0.976(0.1725) 0.989(0.1536) 1.002(0.1359)
#> 4 1.002(0.1467) 0.986(0.1290) 1.006(0.1331) 1.032(0.1326) 0.998(0.1607)
#> 5 1.004(0.1567) 1.042(0.1527) 0.996(0.1628) 0.999(0.1278) 0.982(0.1276)
#> 6 0.980(0.1336) 1.008(0.1457) 1.009(0.1436) 1.013(0.1605) 0.965(0.1392)
#> 7 1.002(0.1518) 1.010(0.1659) 0.979(0.1305) 0.975(0.1521) 0.997(0.1544)
#> 8 1.000(0.1647) 0.971(0.1371) 1.011(0.1291) 0.990(0.1217) 0.993(0.1495)
#> 9 1.012(0.1233) 1.014(0.1499) 0.970(0.1454) 1.006(0.1587) 1.027(0.1741)
#> 10 0.994(0.1725) 0.985(0.1400) 1.007(0.1473) 0.989(0.1652) 0.976(0.1204)
#> year
#> age 1982 1983 1984 1985 1986
#> 1 0.979(0.1476) 0.966(0.1656) 0.961(0.1500) 0.987(0.1335) 1.014(0.1920)
#> 2 0.975(0.1621) 0.983(0.1358) 1.008(0.1408) 0.991(0.1517) 1.000(0.1575)
#> 3 1.034(0.1394) 1.010(0.1557) 0.974(0.1598) 1.033(0.1563) 1.028(0.1211)
#> 4 1.002(0.1899) 0.989(0.1416) 0.984(0.1548) 0.991(0.1283) 0.992(0.1625)
#> 5 1.026(0.1550) 0.978(0.1618) 1.019(0.1324) 0.985(0.1268) 0.999(0.1468)
#> 6 1.012(0.1923) 0.981(0.1607) 1.014(0.1689) 0.990(0.1398) 1.003(0.1445)
#> 7 0.993(0.1782) 0.974(0.1450) 0.979(0.1182) 0.978(0.1569) 1.018(0.1658)
#> 8 0.988(0.1429) 0.975(0.1354) 0.984(0.1411) 0.982(0.1486) 1.020(0.1825)
#> 9 1.015(0.1369) 1.000(0.1565) 0.987(0.1594) 0.984(0.1071) 0.995(0.1752)
#> 10 0.996(0.1586) 1.038(0.1705) 1.005(0.1198) 0.979(0.1573) 1.003(0.1634)
#> year
#> age 1987 1988 1989 1990 1991
#> 1 0.988(0.1187) 1.005(0.1301) 0.996(0.1545) 1.035(0.1689) 0.965(0.1366)
#> 2 1.009(0.1424) 1.019(0.1362) 0.972(0.1449) 1.025(0.1472) 0.994(0.1685)
#> 3 1.026(0.1348) 0.988(0.1115) 0.976(0.1302) 0.970(0.0972) 0.997(0.1544)
#> 4 0.969(0.1384) 1.009(0.1349) 0.989(0.1391) 1.003(0.1536) 1.005(0.1510)
#> 5 1.008(0.1277) 1.019(0.1427) 0.995(0.1358) 1.003(0.1500) 0.981(0.1130)
#> 6 0.993(0.1429) 1.023(0.1341) 0.992(0.1512) 0.987(0.1451) 0.991(0.1253)
#> 7 0.997(0.1309) 1.019(0.1686) 0.989(0.1715) 1.003(0.1534) 1.012(0.1421)
#> 8 0.986(0.1572) 1.015(0.1587) 1.020(0.1466) 1.003(0.1430) 0.997(0.1431)
#> 9 0.993(0.1756) 0.989(0.1570) 1.059(0.1402) 1.013(0.1789) 0.956(0.1389)
#> 10 0.991(0.1514) 0.988(0.1376) 1.020(0.1502) 1.000(0.1549) 0.989(0.1464)
#> year
#> age 1992 1993 1994 1995 1996
#> 1 0.997(0.1262) 0.981(0.1140) 0.985(0.1224) 0.996(0.1457) 1.004(0.1641)
#> 2 1.013(0.1631) 1.017(0.1644) 0.991(0.1231) 1.022(0.1478) 0.999(0.1604)
#> 3 1.021(0.1299) 0.998(0.1378) 0.993(0.1420) 0.978(0.1232) 0.973(0.1468)
#> 4 0.976(0.1535) 1.017(0.1568) 1.011(0.1406) 1.015(0.1463) 0.984(0.1351)
#> 5 1.011(0.1446) 1.001(0.1495) 0.990(0.1488) 1.023(0.1618) 1.044(0.1433)
#> 6 1.007(0.1325) 1.007(0.1406) 1.026(0.1557) 1.004(0.1403) 1.008(0.1527)
#> 7 1.015(0.1562) 1.024(0.1319) 0.997(0.1593) 0.968(0.1471) 1.001(0.1245)
#> 8 1.007(0.1215) 0.991(0.1760) 1.005(0.1611) 0.984(0.1529) 1.012(0.1395)
#> 9 0.989(0.1336) 0.973(0.1240) 1.012(0.1695) 0.994(0.1280) 1.033(0.1396)
#> 10 0.961(0.1277) 1.005(0.1441) 0.992(0.1575) 1.031(0.1728) 1.020(0.1660)
#> year
#> age 1997 1998 1999 2000 2001
#> 1 1.000(0.1522) 1.016(0.1426) 1.024(0.1677) 1.007(0.1789) 1.022(0.1650)
#> 2 1.011(0.1436) 0.989(0.1584) 1.011(0.1661) 0.968(0.1548) 0.996(0.1456)
#> 3 1.040(0.1576) 0.978(0.1725) 0.994(0.1546) 1.009(0.1828) 0.971(0.1615)
#> 4 0.985(0.1516) 1.001(0.1562) 1.023(0.1382) 1.013(0.1716) 1.006(0.1417)
#> 5 0.975(0.1492) 1.020(0.1517) 1.017(0.1511) 1.019(0.1645) 0.969(0.1466)
#> 6 1.007(0.1636) 1.015(0.1500) 0.992(0.1496) 1.010(0.1671) 0.993(0.1397)
#> 7 0.983(0.1326) 0.954(0.1396) 1.023(0.1627) 0.987(0.1614) 1.018(0.1136)
#> 8 1.025(0.1373) 0.988(0.1504) 1.008(0.1402) 0.997(0.1332) 0.970(0.1228)
#> 9 1.011(0.1355) 1.006(0.1292) 0.960(0.1626) 1.030(0.1598) 1.000(0.1791)
#> 10 1.045(0.1641) 1.010(0.1536) 1.003(0.1241) 0.996(0.1332) 1.022(0.1514)
#> year
#> age 2002 2003 2004 2005 2006
#> 1 1.021(0.1477) 1.008(0.1579) 0.974(0.1553) 0.994(0.1506) 1.000(0.1490)
#> 2 0.976(0.1479) 0.975(0.1461) 0.976(0.1659) 1.020(0.1398) 1.012(0.1638)
#> 3 0.978(0.1266) 1.007(0.1490) 0.996(0.1461) 0.974(0.1657) 0.978(0.1513)
#> 4 1.030(0.1768) 1.010(0.1543) 1.005(0.1638) 0.998(0.1424) 1.028(0.1210)
#> 5 0.986(0.1525) 1.031(0.1421) 0.997(0.1444) 1.012(0.1366) 0.997(0.1400)
#> 6 0.971(0.1603) 1.007(0.1690) 0.992(0.1452) 1.000(0.1396) 0.982(0.1406)
#> 7 0.989(0.1446) 1.029(0.1284) 1.008(0.1520) 0.983(0.1315) 0.991(0.1618)
#> 8 0.988(0.1748) 0.989(0.1041) 0.969(0.1513) 0.987(0.1434) 0.996(0.1623)
#> 9 1.029(0.1279) 1.009(0.1658) 1.018(0.1633) 0.989(0.1219) 0.988(0.1514)
#> 10 0.992(0.1822) 0.969(0.1526) 1.003(0.1647) 0.987(0.1359) 0.989(0.1380)
#> year
#> age 2007 2008 2009 2010 2011
#> 1 1.041(0.1579) 1.050(0.1413) 0.968(0.1469) 1.004(0.1506) 0.977(0.1499)
#> 2 1.020(0.1510) 1.011(0.1681) 1.000(0.1502) 0.971(0.1501) 0.979(0.1310)
#> 3 1.024(0.1733) 1.011(0.1510) 0.978(0.1412) 1.025(0.1343) 0.956(0.1508)
#> 4 1.043(0.1610) 0.976(0.1563) 1.019(0.1450) 0.990(0.1331) 1.003(0.1379)
#> 5 1.011(0.1313) 0.989(0.1448) 0.983(0.1344) 1.026(0.1380) 0.975(0.1442)
#> 6 0.989(0.1264) 1.024(0.1707) 1.013(0.1250) 1.022(0.1466) 0.990(0.1776)
#> 7 0.967(0.1558) 0.991(0.1198) 0.998(0.1206) 0.995(0.1853) 1.006(0.1531)
#> 8 1.036(0.1978) 1.008(0.1509) 0.976(0.1488) 0.984(0.1301) 0.974(0.1364)
#> 9 1.001(0.2333) 1.014(0.1280) 0.976(0.1646) 0.995(0.1517) 1.000(0.1491)
#> 10 1.023(0.1803) 1.023(0.1487) 1.022(0.1639) 0.992(0.1477) 0.963(0.1270)
#> year
#> age 2012 2013 2014 2015 2016
#> 1 0.993(0.1629) 0.997(0.1523) 0.998(0.1759) 1.008(0.1325) 1.009(0.1480)
#> 2 1.013(0.1628) 1.011(0.1366) 1.002(0.1410) 1.038(0.1255) 0.981(0.1627)
#> 3 1.029(0.1401) 1.007(0.1432) 0.985(0.1381) 0.990(0.1525) 0.982(0.1282)
#> 4 0.971(0.1419) 0.996(0.1096) 0.982(0.1586) 1.017(0.1606) 0.991(0.1675)
#> 5 1.007(0.1533) 0.978(0.1439) 0.961(0.1529) 1.015(0.1274) 0.987(0.1654)
#> 6 0.992(0.1874) 0.981(0.1267) 1.012(0.1148) 1.006(0.1580) 1.006(0.1787)
#> 7 1.024(0.1530) 1.005(0.1544) 0.967(0.1345) 0.980(0.1226) 1.021(0.1597)
#> 8 0.998(0.1398) 1.007(0.1538) 1.001(0.1550) 1.026(0.1551) 1.005(0.1358)
#> 9 1.004(0.1781) 1.006(0.1460) 1.021(0.1608) 0.996(0.1390) 0.989(0.1540)
#> 10 1.012(0.1429) 1.013(0.1400) 1.007(0.1290) 1.023(0.1413) 0.985(0.1275)
#> year
#> age 2017 2018 2019 2020 2021
#> 1 0.969(0.1226) 0.998(0.1164) 0.970(0.1575) 0.979(0.1515) 0.984(0.1267)
#> 2 0.996(0.1578) 0.990(0.1418) 1.021(0.1313) 0.993(0.1783) 0.993(0.1664)
#> 3 1.027(0.1393) 1.002(0.1259) 1.001(0.1338) 1.025(0.1482) 0.976(0.1591)
#> 4 0.963(0.1570) 1.004(0.1790) 0.987(0.1510) 1.017(0.1565) 0.990(0.1581)
#> 5 0.989(0.1244) 1.005(0.1714) 0.993(0.1242) 1.001(0.1320) 1.028(0.1709)
#> 6 1.001(0.1248) 1.025(0.1657) 0.943(0.1107) 0.968(0.1501) 1.010(0.1266)
#> 7 0.998(0.1512) 1.009(0.1588) 1.026(0.1968) 0.994(0.1535) 0.999(0.1525)
#> 8 0.997(0.1763) 1.014(0.1515) 1.012(0.1466) 0.988(0.1526) 0.989(0.1843)
#> 9 0.988(0.1397) 1.023(0.1530) 1.031(0.1475) 1.013(0.1513) 1.012(0.1531)
#> 10 0.981(0.1751) 1.015(0.1391) 1.038(0.1350) 1.008(0.1750) 0.986(0.1471)
#> year
#> age 2022 2023 2024 2025 2026
#> 1 1.016(0.1269) 1.000(0.1309) 0.995(0.1202) 0.981(0.1710) 1.015(0.1250)
#> 2 0.981(0.1552) 0.995(0.1784) 1.030(0.1450) 0.985(0.1716) 0.997(0.1454)
#> 3 0.979(0.1410) 0.993(0.1686) 0.988(0.1504) 0.998(0.1488) 1.005(0.1255)
#> 4 0.982(0.1380) 1.010(0.1579) 0.989(0.1195) 0.995(0.1614) 1.031(0.1148)
#> 5 0.994(0.1671) 0.997(0.1530) 1.003(0.1673) 1.013(0.1445) 0.996(0.1351)
#> 6 1.031(0.1343) 0.977(0.1172) 1.000(0.1498) 1.034(0.1324) 1.030(0.1526)
#> 7 1.012(0.1248) 1.014(0.1392) 0.998(0.1456) 0.974(0.1161) 1.017(0.1485)
#> 8 1.008(0.1303) 0.981(0.1412) 0.986(0.1195) 1.014(0.1329) 0.996(0.1539)
#> 9 0.987(0.1392) 1.007(0.1527) 0.980(0.1425) 0.993(0.1556) 0.978(0.1314)
#> 10 1.002(0.1438) 0.996(0.1435) 0.983(0.1355) 1.000(0.1301) 1.006(0.1589)
#> year
#> age 2027 2028 2029 2030 2031
#> 1 0.996(0.1335) 1.000(0.1259) 0.984(0.1371) 1.023(0.1302) 1.006(0.1423)
#> 2 0.982(0.1275) 1.022(0.1452) 0.980(0.1451) 1.001(0.1355) 0.957(0.0896)
#> 3 1.006(0.1572) 1.037(0.1557) 1.002(0.1684) 0.983(0.1267) 1.011(0.1892)
#> 4 1.014(0.1613) 0.982(0.1657) 0.961(0.1558) 1.015(0.1618) 0.985(0.1225)
#> 5 1.007(0.1390) 1.029(0.1493) 0.993(0.1519) 1.003(0.1499) 1.010(0.1365)
#> 6 1.000(0.1725) 1.023(0.1493) 0.988(0.1567) 1.006(0.1828) 1.027(0.1440)
#> 7 0.989(0.1282) 1.024(0.1480) 0.991(0.1685) 0.999(0.1412) 1.035(0.1435)
#> 8 1.014(0.1583) 0.965(0.1396) 1.036(0.1299) 0.989(0.1170) 0.988(0.1580)
#> 9 0.986(0.1755) 0.991(0.1585) 1.013(0.1306) 1.010(0.1635) 1.017(0.1690)
#> 10 0.998(0.1230) 1.033(0.1644) 1.021(0.1216) 1.021(0.1340) 1.001(0.1626)
#> year
#> age 2032 2033 2034 2035 2036
#> 1 0.978(0.1575) 0.990(0.1588) 1.030(0.1513) 0.974(0.1702) 1.006(0.1314)
#> 2 0.989(0.1268) 0.961(0.1464) 1.000(0.1465) 1.020(0.1501) 0.996(0.1691)
#> 3 1.005(0.1216) 0.993(0.1853) 0.995(0.1570) 1.008(0.1329) 0.998(0.1442)
#> 4 1.018(0.1349) 1.044(0.1794) 1.017(0.1538) 0.972(0.1295) 0.995(0.1502)
#> 5 1.012(0.1522) 0.983(0.1631) 0.972(0.1465) 0.995(0.1576) 1.036(0.1750)
#> 6 1.014(0.1556) 1.037(0.1532) 1.001(0.1295) 1.021(0.1596) 1.002(0.1497)
#> 7 0.997(0.1362) 1.012(0.1636) 0.994(0.1520) 0.994(0.1262) 0.986(0.1474)
#> 8 1.012(0.1373) 1.019(0.1414) 1.029(0.1598) 0.994(0.1515) 1.005(0.1425)
#> 9 0.975(0.1457) 1.035(0.1653) 1.029(0.1421) 1.007(0.1481) 1.001(0.1659)
#> 10 0.975(0.1380) 0.984(0.1550) 0.994(0.1336) 1.015(0.1550) 0.991(0.1319)
#> year
#> age 2037 2038 2039 2040 2041
#> 1 0.998(0.1706) 1.009(0.1628) 1.005(0.1319) 0.985(0.1334) 1.020(0.1496)
#> 2 0.958(0.1511) 1.036(0.1704) 0.994(0.1418) 1.024(0.1135) 0.990(0.1131)
#> 3 1.005(0.1900) 1.013(0.1686) 1.014(0.1849) 0.962(0.1402) 1.038(0.1281)
#> 4 1.008(0.1206) 0.954(0.1225) 0.995(0.1578) 1.035(0.1352) 1.009(0.1514)
#> 5 0.981(0.1568) 1.017(0.1397) 1.035(0.1526) 0.974(0.1582) 0.986(0.1378)
#> 6 1.006(0.1223) 0.986(0.1275) 0.998(0.1673) 0.994(0.1272) 1.042(0.1431)
#> 7 0.974(0.1377) 1.017(0.1478) 1.003(0.1676) 1.001(0.1698) 0.997(0.1375)
#> 8 0.987(0.1565) 0.999(0.1738) 1.015(0.1494) 0.975(0.1415) 0.997(0.1584)
#> 9 1.005(0.1366) 0.987(0.1304) 0.969(0.1529) 0.956(0.1507) 0.992(0.1526)
#> 10 0.989(0.1123) 0.957(0.1407) 0.987(0.1399) 1.006(0.1233) 1.022(0.1606)
#> year
#> age 2042
#> 1 0.994(0.1167)
#> 2 0.976(0.1472)
#> 3 1.057(0.1844)
#> 4 0.988(0.1640)
#> 5 0.975(0.1638)
#> 6 0.988(0.1802)
#> 7 0.993(0.1314)
#> 8 1.013(0.1541)
#> 9 1.003(0.1654)
#> 10 1.001(0.1631)
#>
#> units: thousands
#>
#>
#> $idx
#> $ BTS
#> An object of class "FLQuant"
#> iters: 100
#>
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1985 1986 1987 1988 1989
#> 1 0.991(0.183) 1.024(0.199) 0.939(0.155) 0.965(0.172) 1.036(0.175)
#> 2 0.970(0.182) 1.000(0.181) 1.006(0.192) 1.011(0.178) 1.001(0.202)
#> 3 0.990(0.175) 0.966(0.222) 1.008(0.181) 0.988(0.225) 1.021(0.219)
#> 4 1.006(0.202) 1.022(0.195) 1.012(0.189) 1.000(0.186) 0.972(0.174)
#> 5 0.991(0.185) 0.972(0.193) 1.000(0.206) 1.009(0.182) 1.002(0.186)
#> 6 1.007(0.205) 1.044(0.162) 0.986(0.203) 1.009(0.230) 1.003(0.196)
#> 7 1.003(0.186) 1.023(0.234) 1.000(0.234) 1.013(0.228) 1.007(0.233)
#> 8 1.038(0.203) 1.000(0.195) 1.031(0.198) 1.033(0.216) 1.011(0.191)
#> 9 0.967(0.146) 0.973(0.217) 0.978(0.220) 0.970(0.209) 0.941(0.165)
#> 10 0.997(0.179) 0.995(0.213) 1.022(0.228) 0.963(0.190) 0.999(0.183)
#> year
#> age 1990 1991 1992 1993 1994
#> 1 0.977(0.188) 0.946(0.191) 1.000(0.180) 0.963(0.187) 1.018(0.220)
#> 2 1.017(0.162) 0.969(0.198) 1.028(0.194) 0.973(0.164) 0.993(0.166)
#> 3 0.973(0.219) 1.024(0.217) 0.970(0.197) 0.976(0.197) 0.978(0.183)
#> 4 1.039(0.239) 0.942(0.200) 1.057(0.205) 1.035(0.232) 0.986(0.193)
#> 5 0.991(0.162) 0.982(0.204) 0.929(0.188) 0.983(0.225) 1.011(0.257)
#> 6 1.012(0.198) 1.019(0.170) 1.021(0.224) 0.998(0.191) 1.008(0.206)
#> 7 1.036(0.198) 1.031(0.266) 0.977(0.215) 0.949(0.193) 0.929(0.139)
#> 8 1.007(0.206) 0.987(0.184) 0.993(0.180) 1.020(0.201) 1.004(0.215)
#> 9 0.979(0.211) 1.024(0.188) 1.042(0.196) 0.996(0.151) 0.973(0.230)
#> 10 0.974(0.221) 0.987(0.191) 0.992(0.159) 1.037(0.210) 1.022(0.201)
#> year
#> age 1995 1996 1997 1998 1999
#> 1 0.989(0.227) 0.984(0.194) 1.034(0.205) 0.956(0.164) 0.998(0.189)
#> 2 1.021(0.165) 0.997(0.176) 1.029(0.238) 1.000(0.182) 0.988(0.217)
#> 3 1.011(0.161) 0.985(0.182) 0.982(0.229) 0.996(0.209) 1.001(0.187)
#> 4 1.012(0.192) 0.985(0.182) 0.959(0.187) 1.019(0.203) 1.010(0.159)
#> 5 0.992(0.179) 1.009(0.201) 0.998(0.188) 0.990(0.202) 1.003(0.207)
#> 6 1.028(0.214) 1.000(0.188) 1.041(0.173) 1.017(0.194) 1.031(0.203)
#> 7 0.960(0.199) 1.004(0.182) 0.999(0.175) 1.041(0.199) 0.981(0.167)
#> 8 0.977(0.176) 1.000(0.201) 1.009(0.203) 0.995(0.194) 0.996(0.167)
#> 9 0.986(0.213) 1.040(0.228) 1.000(0.204) 1.021(0.171) 1.039(0.228)
#> 10 0.973(0.234) 0.985(0.191) 1.035(0.215) 1.020(0.203) 0.992(0.198)
#> year
#> age 2000 2001 2002 2003 2004
#> 1 1.002(0.188) 0.956(0.218) 1.009(0.230) 1.026(0.218) 0.991(0.198)
#> 2 1.036(0.213) 0.991(0.234) 1.026(0.203) 1.027(0.177) 1.016(0.188)
#> 3 1.000(0.202) 0.948(0.179) 1.023(0.170) 0.989(0.215) 1.000(0.198)
#> 4 1.010(0.240) 0.991(0.213) 0.982(0.197) 0.969(0.144) 1.040(0.242)
#> 5 0.996(0.193) 1.052(0.196) 0.960(0.161) 0.998(0.228) 0.999(0.153)
#> 6 0.979(0.209) 0.985(0.232) 1.003(0.189) 0.974(0.206) 0.999(0.207)
#> 7 0.992(0.159) 1.019(0.202) 1.010(0.187) 0.978(0.199) 1.027(0.193)
#> 8 1.049(0.210) 0.978(0.179) 1.025(0.221) 1.024(0.165) 0.952(0.191)
#> 9 0.968(0.185) 0.951(0.164) 1.021(0.206) 0.955(0.157) 0.996(0.185)
#> 10 0.980(0.219) 0.958(0.172) 0.997(0.241) 1.005(0.252) 1.020(0.182)
#> year
#> age 2005 2006 2007 2008 2009
#> 1 0.965(0.172) 0.964(0.194) 0.935(0.188) 0.975(0.210) 1.048(0.180)
#> 2 1.024(0.187) 0.961(0.146) 1.015(0.212) 1.018(0.220) 0.992(0.186)
#> 3 0.999(0.210) 1.010(0.187) 1.004(0.206) 0.997(0.184) 1.004(0.200)
#> 4 0.999(0.214) 1.017(0.185) 0.992(0.184) 0.998(0.204) 1.005(0.224)
#> 5 0.992(0.191) 0.962(0.218) 0.987(0.193) 0.999(0.168) 1.017(0.194)
#> 6 0.990(0.183) 1.009(0.208) 0.999(0.194) 0.980(0.188) 0.988(0.183)
#> 7 1.011(0.184) 0.982(0.165) 1.027(0.175) 1.022(0.191) 0.935(0.162)
#> 8 1.056(0.177) 0.984(0.171) 0.997(0.236) 1.015(0.192) 0.959(0.194)
#> 9 0.983(0.195) 0.958(0.179) 0.978(0.203) 1.003(0.229) 0.959(0.164)
#> 10 1.002(0.218) 1.048(0.217) 0.997(0.178) 1.011(0.199) 1.014(0.149)
#> year
#> age 2010 2011 2012 2013 2014
#> 1 1.033(0.166) 0.970(0.189) 0.977(0.187) 1.017(0.203) 0.991(0.210)
#> 2 1.023(0.173) 1.022(0.221) 0.968(0.197) 0.940(0.157) 0.999(0.206)
#> 3 1.004(0.209) 1.061(0.241) 1.036(0.223) 1.014(0.222) 1.047(0.264)
#> 4 0.999(0.219) 0.997(0.187) 1.009(0.179) 1.026(0.224) 1.019(0.181)
#> 5 0.955(0.198) 0.926(0.212) 1.018(0.193) 0.996(0.210) 0.975(0.175)
#> 6 1.008(0.160) 0.990(0.196) 0.986(0.173) 1.042(0.202) 1.054(0.240)
#> 7 0.952(0.155) 1.007(0.237) 1.013(0.241) 1.021(0.231) 1.037(0.224)
#> 8 1.062(0.218) 0.995(0.186) 0.987(0.161) 0.996(0.189) 0.998(0.172)
#> 9 1.029(0.223) 1.006(0.199) 1.015(0.197) 0.990(0.186) 0.977(0.234)
#> 10 1.006(0.158) 1.011(0.213) 0.961(0.157) 0.968(0.196) 0.974(0.168)
#> year
#> age 2015 2016 2017 2018 2019
#> 1 1.031(0.209) 1.003(0.199) 1.015(0.234) 1.004(0.174) 1.030(0.206)
#> 2 0.980(0.209) 1.010(0.149) 0.991(0.184) 1.020(0.221) 1.067(0.225)
#> 3 0.993(0.222) 1.016(0.231) 1.022(0.264) 0.966(0.192) 0.999(0.191)
#> 4 0.983(0.198) 1.043(0.184) 0.967(0.157) 0.976(0.202) 1.009(0.153)
#> 5 1.020(0.243) 1.026(0.230) 0.953(0.189) 0.998(0.169) 1.003(0.186)
#> 6 0.956(0.158) 0.994(0.196) 0.989(0.186) 0.996(0.184) 1.006(0.183)
#> 7 0.957(0.215) 0.979(0.229) 0.999(0.224) 0.994(0.178) 0.985(0.210)
#> 8 0.966(0.225) 1.012(0.192) 1.033(0.243) 1.018(0.207) 0.984(0.175)
#> 9 0.973(0.215) 1.003(0.201) 0.992(0.183) 1.032(0.240) 0.952(0.188)
#> 10 0.999(0.197) 1.047(0.218) 1.005(0.208) 0.964(0.201) 1.015(0.181)
#> year
#> age 2020 2021 2022 2023 2024
#> 1 0.969(0.193) 0.995(0.162) 1.018(0.161) 1.036(0.193) 1.024(0.181)
#> 2 0.988(0.183) 1.032(0.209) 0.994(0.216) 1.004(0.174) 1.018(0.192)
#> 3 1.016(0.193) 0.969(0.194) 1.019(0.182) 1.037(0.224) 0.991(0.206)
#> 4 1.024(0.176) 1.022(0.214) 1.020(0.220) 1.021(0.167) 0.993(0.206)
#> 5 0.943(0.206) 0.994(0.217) 1.002(0.190) 1.031(0.238) 0.998(0.175)
#> 6 0.971(0.163) 0.972(0.168) 0.954(0.173) 0.990(0.233) 1.016(0.246)
#> 7 0.986(0.179) 1.004(0.226) 0.986(0.178) 1.017(0.162) 1.029(0.242)
#> 8 1.022(0.196) 0.976(0.208) 0.920(0.225) 1.015(0.195) 1.028(0.240)
#> 9 0.962(0.172) 0.989(0.184) 1.025(0.206) 1.022(0.212) 1.025(0.197)
#> 10 1.005(0.196) 0.986(0.199) 1.028(0.212) 1.014(0.203) 0.990(0.189)
#> year
#> age 2025 2026 2027 2028 2029
#> 1 0.965(0.195) 0.960(0.190) 1.012(0.226) 1.038(0.243) 1.009(0.205)
#> 2 1.000(0.168) 1.016(0.165) 0.978(0.225) 0.975(0.163) 1.021(0.240)
#> 3 1.019(0.184) 1.024(0.180) 1.028(0.242) 1.047(0.186) 0.994(0.169)
#> 4 1.000(0.178) 0.974(0.205) 0.982(0.195) 1.039(0.181) 1.000(0.193)
#> 5 1.002(0.195) 0.958(0.183) 0.971(0.170) 1.009(0.211) 1.024(0.199)
#> 6 0.958(0.161) 1.038(0.259) 1.009(0.202) 0.998(0.241) 1.039(0.226)
#> 7 0.992(0.201) 0.981(0.189) 1.043(0.204) 0.988(0.196) 1.021(0.151)
#> 8 0.986(0.175) 0.996(0.241) 0.964(0.228) 0.985(0.196) 1.069(0.226)
#> 9 1.038(0.202) 1.026(0.199) 0.993(0.197) 0.986(0.188) 1.036(0.208)
#> 10 0.987(0.195) 0.993(0.178) 0.960(0.166) 0.974(0.213) 0.964(0.194)
#> year
#> age 2030 2031 2032 2033 2034
#> 1 1.020(0.198) 1.011(0.207) 0.964(0.218) 1.011(0.213) 1.005(0.186)
#> 2 1.018(0.196) 1.024(0.268) 0.960(0.183) 1.014(0.174) 0.977(0.183)
#> 3 1.053(0.234) 0.972(0.173) 0.987(0.205) 0.967(0.198) 0.992(0.261)
#> 4 1.004(0.165) 1.023(0.214) 1.007(0.180) 0.957(0.178) 1.055(0.177)
#> 5 1.035(0.232) 0.948(0.207) 1.007(0.170) 1.015(0.185) 1.027(0.192)
#> 6 0.981(0.202) 0.995(0.198) 1.026(0.229) 1.005(0.213) 1.014(0.224)
#> 7 1.029(0.180) 0.966(0.247) 0.973(0.190) 1.003(0.197) 0.941(0.162)
#> 8 0.996(0.155) 0.958(0.198) 0.989(0.239) 1.027(0.205) 0.960(0.169)
#> 9 1.018(0.242) 1.012(0.197) 0.984(0.191) 0.990(0.176) 1.032(0.195)
#> 10 0.977(0.186) 1.038(0.178) 1.014(0.214) 0.970(0.173) 0.953(0.167)
#> year
#> age 2035 2036 2037 2038 2039
#> 1 1.060(0.205) 1.019(0.184) 1.010(0.198) 1.002(0.217) 0.999(0.189)
#> 2 1.020(0.188) 1.021(0.209) 1.078(0.203) 1.012(0.190) 1.004(0.181)
#> 3 0.965(0.170) 0.961(0.156) 1.007(0.183) 0.981(0.201) 1.007(0.160)
#> 4 0.985(0.167) 0.968(0.188) 1.014(0.221) 1.005(0.181) 1.011(0.177)
#> 5 1.046(0.238) 1.010(0.212) 1.012(0.194) 0.978(0.236) 1.028(0.180)
#> 6 0.998(0.157) 1.004(0.198) 1.012(0.201) 1.011(0.165) 1.049(0.212)
#> 7 0.968(0.167) 1.006(0.191) 0.982(0.194) 1.018(0.219) 1.018(0.204)
#> 8 0.973(0.179) 1.016(0.199) 1.030(0.208) 1.002(0.198) 1.007(0.198)
#> 9 0.991(0.216) 0.988(0.179) 1.016(0.188) 0.995(0.191) 0.972(0.174)
#> 10 1.021(0.201) 0.956(0.194) 1.010(0.179) 0.968(0.198) 0.998(0.223)
#> year
#> age 2040 2041 2042
#> 1 1.003(0.194) 1.000(0.233) 1.015(0.220)
#> 2 1.000(0.242) 0.999(0.180) 0.993(0.217)
#> 3 1.016(0.222) 0.995(0.181) 1.012(0.189)
#> 4 0.969(0.178) 1.032(0.180) 1.002(0.215)
#> 5 0.962(0.176) 1.025(0.177) 1.030(0.217)
#> 6 1.073(0.242) 1.000(0.169) 1.067(0.199)
#> 7 0.981(0.170) 1.016(0.208) 1.004(0.200)
#> 8 0.980(0.184) 1.007(0.188) 1.021(0.178)
#> 9 1.015(0.224) 0.990(0.208) 0.999(0.175)
#> 10 0.989(0.214) 1.027(0.250) 0.982(0.176)
#>
#> units: NA
#>
#> $ SNS
#> An object of class "FLQuant"
#> iters: 100
#>
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1970 1971 1972 1973 1974
#> 1 0.986(0.191) 0.991(0.184) 0.974(0.162) 0.991(0.175) 0.960(0.195)
#> 2 1.002(0.165) 0.983(0.222) 0.995(0.193) 0.986(0.220) 1.052(0.190)
#> 3 1.013(0.186) 1.017(0.176) 0.990(0.183) 0.995(0.212) 1.027(0.225)
#> 4 1.036(0.225) 0.997(0.197) 0.952(0.182) 0.970(0.160) 0.971(0.139)
#> 5 0.989(0.191) 0.950(0.207) 0.973(0.179) 1.000(0.175) 0.996(0.200)
#> 6 1.005(0.210) 1.009(0.210) 0.980(0.175) 1.012(0.151) 1.021(0.238)
#> year
#> age 1975 1976 1977 1978 1979
#> 1 1.006(0.204) 1.017(0.209) 0.995(0.204) 1.004(0.188) 1.022(0.165)
#> 2 1.021(0.181) 0.991(0.187) 0.983(0.173) 0.986(0.209) 0.962(0.202)
#> 3 0.991(0.241) 1.000(0.192) 1.003(0.219) 1.013(0.224) 1.050(0.184)
#> 4 1.045(0.221) 1.001(0.174) 0.988(0.162) 0.989(0.197) 1.002(0.182)
#> 5 0.991(0.203) 0.964(0.194) 0.993(0.172) 0.973(0.178) 0.980(0.181)
#> 6 0.959(0.173) 0.975(0.198) 0.999(0.222) 1.018(0.227) 1.003(0.183)
#> year
#> age 1980 1981 1982 1983 1984
#> 1 0.979(0.142) 1.034(0.207) 1.004(0.177) 1.006(0.194) 0.993(0.168)
#> 2 0.956(0.196) 1.035(0.241) 0.966(0.154) 0.993(0.195) 1.009(0.253)
#> 3 0.983(0.210) 0.943(0.137) 0.987(0.203) 0.991(0.166) 1.040(0.217)
#> 4 1.025(0.204) 1.000(0.221) 0.975(0.176) 0.995(0.206) 1.022(0.191)
#> 5 1.010(0.196) 1.021(0.225) 0.968(0.181) 0.960(0.165) 0.983(0.195)
#> 6 1.007(0.173) 0.956(0.135) 0.980(0.157) 1.008(0.225) 1.005(0.214)
#> year
#> age 1985 1986 1987 1988 1989
#> 1 1.027(0.220) 0.967(0.228) 0.963(0.190) 1.012(0.179) 1.043(0.225)
#> 2 0.998(0.187) 1.002(0.212) 1.025(0.214) 1.028(0.199) 1.033(0.200)
#> 3 0.981(0.156) 1.005(0.171) 1.020(0.213) 0.999(0.181) 0.995(0.151)
#> 4 0.988(0.208) 0.991(0.191) 1.011(0.197) 1.011(0.194) 1.002(0.227)
#> 5 1.007(0.228) 1.020(0.239) 1.016(0.193) 0.962(0.156) 0.997(0.177)
#> 6 0.976(0.208) 1.037(0.196) 0.996(0.183) 1.002(0.213) 0.968(0.203)
#> year
#> age 1990 1991 1992 1993 1994
#> 1 0.983(0.185) 0.942(0.193) 0.991(0.219) 1.024(0.208) 1.009(0.156)
#> 2 0.967(0.176) 0.980(0.189) 1.017(0.218) 1.000(0.178) 0.985(0.184)
#> 3 0.980(0.127) 1.038(0.205) 0.943(0.187) 0.962(0.194) 0.958(0.233)
#> 4 0.962(0.238) 1.014(0.224) 1.022(0.211) 1.019(0.194) 0.998(0.230)
#> 5 0.997(0.222) 1.031(0.235) 1.000(0.197) 1.003(0.173) 1.025(0.180)
#> 6 0.981(0.166) 1.021(0.214) 1.048(0.185) 1.020(0.203) 1.045(0.169)
#> year
#> age 1995 1996 1997 1998 1999
#> 1 1.008(0.177) 0.967(0.187) 0.989(0.228) 0.990(0.193) 1.009(0.194)
#> 2 1.007(0.218) 0.985(0.163) 0.991(0.183) 0.975(0.155) 0.999(0.165)
#> 3 0.964(0.208) 1.007(0.243) 1.003(0.226) 1.017(0.178) 0.977(0.188)
#> 4 1.024(0.225) 1.012(0.215) 1.014(0.199) 0.979(0.209) 1.002(0.153)
#> 5 1.002(0.190) 0.987(0.203) 1.006(0.196) 1.027(0.222) 0.981(0.181)
#> 6 1.033(0.203) 1.010(0.215) 0.978(0.179) 1.002(0.207) 0.998(0.177)
#> year
#> age 2000 2001 2002 2003 2004
#> 1 1.002(0.195) 1.025(0.192) 0.968(0.165) 0.996(0.238) 0.974(0.151)
#> 2 1.046(0.202) 0.993(0.187) 1.029(0.195) 1.040(0.198) 1.013(0.221)
#> 3 0.996(0.193) 0.982(0.204) 0.987(0.173) 1.003(0.243) 1.023(0.183)
#> 4 0.979(0.203) 0.983(0.197) 1.022(0.206) 1.046(0.169) 1.014(0.170)
#> 5 1.009(0.189) 1.005(0.182) 1.020(0.225) 1.048(0.189) 1.060(0.194)
#> 6 1.028(0.184) 1.004(0.272) 1.053(0.190) 0.992(0.163) 1.095(0.232)
#> year
#> age 2005 2006 2007 2008 2009
#> 1 1.008(0.192) 1.027(0.155) 0.980(0.192) 0.979(0.175) 0.996(0.200)
#> 2 1.002(0.170) 0.997(0.188) 1.020(0.203) 0.982(0.174) 1.029(0.172)
#> 3 1.026(0.190) 0.986(0.182) 0.954(0.214) 1.008(0.207) 0.993(0.199)
#> 4 1.029(0.200) 1.029(0.224) 0.993(0.174) 0.985(0.163) 0.957(0.188)
#> 5 0.989(0.133) 1.034(0.206) 0.960(0.164) 0.981(0.212) 0.980(0.219)
#> 6 0.975(0.225) 1.003(0.187) 1.052(0.221) 0.954(0.188) 1.018(0.213)
#> year
#> age 2010 2011 2012 2013 2014
#> 1 1.003(0.192) 0.998(0.192) 1.001(0.174) 0.998(0.205) 1.028(0.220)
#> 2 1.035(0.212) 1.024(0.175) 0.972(0.183) 1.004(0.203) 0.951(0.184)
#> 3 0.990(0.207) 1.006(0.202) 0.976(0.198) 0.996(0.208) 1.029(0.206)
#> 4 0.979(0.174) 0.986(0.183) 1.006(0.195) 0.992(0.169) 0.993(0.191)
#> 5 1.009(0.170) 1.003(0.177) 0.967(0.189) 0.982(0.192) 0.993(0.173)
#> 6 0.978(0.200) 1.025(0.173) 0.982(0.218) 1.039(0.180) 0.966(0.227)
#> year
#> age 2015 2016 2017 2018 2019
#> 1 1.035(0.146) 0.998(0.217) 1.020(0.231) 1.036(0.188) 1.020(0.212)
#> 2 1.011(0.209) 1.007(0.198) 1.029(0.214) 1.001(0.177) 0.997(0.194)
#> 3 1.006(0.169) 1.042(0.197) 0.997(0.218) 0.985(0.202) 1.005(0.263)
#> 4 1.007(0.174) 0.970(0.200) 1.001(0.201) 1.046(0.226) 0.999(0.184)
#> 5 1.010(0.204) 1.004(0.202) 1.035(0.184) 0.969(0.196) 1.004(0.231)
#> 6 1.010(0.171) 0.979(0.188) 1.047(0.199) 1.059(0.237) 1.000(0.180)
#> year
#> age 2020 2021 2022 2023 2024
#> 1 0.984(0.171) 1.009(0.194) 0.983(0.183) 1.032(0.195) 1.013(0.154)
#> 2 0.976(0.157) 1.029(0.222) 1.020(0.202) 1.024(0.209) 0.993(0.210)
#> 3 0.974(0.185) 1.049(0.206) 1.040(0.217) 0.992(0.212) 0.988(0.171)
#> 4 0.966(0.180) 1.024(0.228) 1.013(0.186) 1.022(0.187) 1.017(0.241)
#> 5 1.009(0.222) 1.010(0.170) 1.041(0.205) 1.022(0.171) 0.983(0.175)
#> 6 1.005(0.178) 0.992(0.206) 1.029(0.190) 0.980(0.196) 1.004(0.160)
#> year
#> age 2025 2026 2027 2028 2029
#> 1 0.992(0.218) 1.028(0.235) 1.026(0.220) 1.028(0.198) 1.009(0.188)
#> 2 0.995(0.188) 1.002(0.209) 0.983(0.202) 0.967(0.157) 1.014(0.233)
#> 3 0.952(0.150) 0.974(0.175) 0.979(0.174) 0.984(0.206) 0.989(0.143)
#> 4 0.968(0.178) 1.027(0.165) 1.046(0.250) 1.062(0.178) 1.030(0.210)
#> 5 1.002(0.190) 0.976(0.212) 1.007(0.216) 0.981(0.189) 0.987(0.201)
#> 6 1.021(0.211) 0.995(0.183) 1.027(0.202) 0.985(0.206) 1.003(0.169)
#> year
#> age 2030 2031 2032 2033 2034
#> 1 0.977(0.163) 1.032(0.230) 1.000(0.200) 1.003(0.185) 1.003(0.197)
#> 2 1.022(0.224) 0.980(0.172) 0.987(0.206) 0.978(0.199) 1.021(0.214)
#> 3 1.063(0.206) 1.025(0.192) 0.987(0.166) 1.013(0.201) 1.012(0.238)
#> 4 1.020(0.206) 0.998(0.197) 0.997(0.239) 1.026(0.231) 0.979(0.231)
#> 5 0.992(0.219) 1.006(0.176) 0.988(0.216) 0.998(0.162) 1.020(0.194)
#> 6 0.991(0.203) 1.011(0.180) 0.968(0.228) 0.991(0.173) 0.988(0.197)
#> year
#> age 2035 2036 2037 2038 2039
#> 1 1.009(0.204) 1.019(0.175) 0.988(0.202) 0.986(0.166) 1.010(0.225)
#> 2 0.987(0.181) 1.031(0.238) 1.026(0.259) 0.990(0.189) 1.028(0.251)
#> 3 0.979(0.211) 0.963(0.159) 0.975(0.241) 1.006(0.242) 0.996(0.206)
#> 4 0.991(0.166) 1.068(0.217) 0.960(0.196) 0.990(0.200) 1.036(0.185)
#> 5 1.001(0.181) 0.978(0.210) 1.019(0.205) 1.033(0.186) 0.994(0.177)
#> 6 0.965(0.151) 1.049(0.231) 0.982(0.188) 1.000(0.200) 0.993(0.146)
#> year
#> age 2040 2041 2042
#> 1 1.035(0.223) 1.010(0.179) 1.004(0.208)
#> 2 0.994(0.191) 0.970(0.170) 1.024(0.229)
#> 3 1.005(0.209) 1.006(0.229) 0.972(0.190)
#> 4 1.050(0.167) 1.009(0.207) 1.017(0.207)
#> 5 1.008(0.208) 1.020(0.224) 0.979(0.213)
#> 6 1.012(0.181) 0.988(0.189) 1.023(0.218)
#>
#> units: NA
#>
#>
deviances(oem, "stk")
#> $catch.n
#> An object of class "FLQuant"
#> iters: 100
#>
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961
#> 1 1.000(0.1896) 1.002(0.1232) 1.030(0.1348) 1.013(0.1545) 0.974(0.1417)
#> 2 0.998(0.1218) 1.023(0.1434) 0.990(0.1548) 0.964(0.1525) 1.012(0.1184)
#> 3 1.004(0.1401) 0.972(0.1319) 0.983(0.1377) 0.994(0.1606) 0.995(0.1253)
#> 4 1.020(0.1386) 1.002(0.1608) 0.992(0.1298) 1.014(0.1393) 1.023(0.1296)
#> 5 1.024(0.1192) 1.053(0.1401) 1.024(0.1454) 1.045(0.1388) 1.014(0.1438)
#> 6 1.020(0.1485) 1.009(0.1345) 0.992(0.1204) 0.981(0.1368) 0.990(0.1599)
#> 7 1.002(0.1514) 0.988(0.1267) 0.997(0.1405) 1.010(0.1598) 1.032(0.1626)
#> 8 0.989(0.1425) 0.996(0.1320) 1.021(0.1426) 1.010(0.1397) 1.007(0.1707)
#> 9 0.979(0.1611) 1.000(0.1827) 1.008(0.1655) 1.001(0.1332) 0.985(0.1379)
#> 10 1.032(0.1300) 0.966(0.1306) 0.999(0.1546) 1.004(0.1382) 1.006(0.1440)
#> year
#> age 1962 1963 1964 1965 1966
#> 1 1.036(0.1411) 0.995(0.1499) 0.981(0.1453) 1.037(0.1561) 0.985(0.1377)
#> 2 1.044(0.1370) 1.017(0.1489) 0.966(0.1404) 1.004(0.1638) 0.995(0.1418)
#> 3 0.980(0.1237) 1.026(0.1699) 0.980(0.1501) 0.980(0.1217) 0.989(0.1466)
#> 4 0.976(0.1598) 0.985(0.0959) 1.001(0.1219) 0.990(0.1817) 1.003(0.1446)
#> 5 0.982(0.1368) 1.010(0.1451) 1.018(0.1700) 0.960(0.1647) 0.993(0.1406)
#> 6 0.991(0.1249) 1.014(0.1463) 0.976(0.1398) 1.006(0.1444) 1.012(0.1164)
#> 7 0.985(0.1257) 0.988(0.1232) 1.017(0.1434) 1.011(0.1366) 0.980(0.1440)
#> 8 1.016(0.1923) 1.022(0.1585) 0.996(0.1238) 1.027(0.1632) 0.998(0.1588)
#> 9 1.029(0.1678) 1.000(0.1576) 0.982(0.1669) 1.015(0.1644) 1.035(0.1587)
#> 10 1.008(0.1597) 0.985(0.1887) 1.032(0.1247) 0.984(0.1453) 1.005(0.1953)
#> year
#> age 1967 1968 1969 1970 1971
#> 1 0.977(0.1194) 0.995(0.1571) 0.999(0.1723) 1.009(0.1428) 1.049(0.1471)
#> 2 1.005(0.1524) 1.003(0.1804) 0.979(0.1378) 1.004(0.1467) 0.965(0.1377)
#> 3 1.012(0.1635) 0.984(0.1331) 1.006(0.1506) 1.022(0.1380) 1.010(0.1613)
#> 4 1.028(0.1628) 0.977(0.1151) 1.034(0.1727) 1.000(0.1505) 0.996(0.1316)
#> 5 1.000(0.1748) 0.994(0.1437) 0.970(0.1487) 1.017(0.1472) 1.000(0.1110)
#> 6 0.993(0.1533) 0.978(0.1438) 0.981(0.1790) 0.986(0.1502) 0.988(0.1827)
#> 7 1.042(0.1590) 1.000(0.1353) 0.987(0.1100) 1.004(0.1613) 0.992(0.1720)
#> 8 0.997(0.1291) 0.986(0.1512) 0.985(0.1142) 0.986(0.1598) 1.016(0.1182)
#> 9 1.015(0.1460) 1.001(0.1658) 1.019(0.1823) 1.047(0.1728) 1.015(0.1756)
#> 10 1.006(0.1345) 1.000(0.1656) 1.003(0.1419) 1.022(0.1603) 1.049(0.1644)
#> year
#> age 1972 1973 1974 1975 1976
#> 1 0.985(0.1850) 0.989(0.1571) 0.980(0.1419) 0.994(0.1355) 0.982(0.1642)
#> 2 1.011(0.1310) 0.978(0.1542) 1.028(0.1323) 0.994(0.1361) 1.006(0.1518)
#> 3 1.001(0.1521) 1.047(0.1361) 1.015(0.1356) 0.987(0.1456) 1.002(0.1680)
#> 4 0.992(0.1346) 0.987(0.1739) 1.028(0.1223) 1.025(0.1535) 1.004(0.1419)
#> 5 1.009(0.1283) 0.992(0.1429) 1.021(0.1485) 0.987(0.1506) 0.991(0.1785)
#> 6 0.990(0.1833) 0.986(0.1461) 0.986(0.1735) 0.985(0.1549) 1.011(0.1526)
#> 7 1.007(0.1645) 1.022(0.1443) 1.009(0.1760) 0.998(0.1437) 1.021(0.1548)
#> 8 0.982(0.1430) 0.997(0.1744) 1.005(0.1295) 1.008(0.1404) 1.023(0.1650)
#> 9 1.011(0.1448) 0.990(0.1421) 1.028(0.1271) 0.994(0.1598) 1.022(0.1440)
#> 10 1.026(0.1386) 1.007(0.1473) 1.002(0.1324) 0.979(0.1217) 1.017(0.1365)
#> year
#> age 1977 1978 1979 1980 1981
#> 1 1.036(0.1675) 0.989(0.1371) 1.018(0.1557) 1.006(0.1587) 1.028(0.1655)
#> 2 1.032(0.1647) 0.991(0.1491) 0.989(0.1674) 0.990(0.1430) 1.032(0.1884)
#> 3 0.996(0.1293) 0.982(0.1660) 0.976(0.1725) 0.989(0.1536) 1.002(0.1359)
#> 4 1.002(0.1467) 0.986(0.1290) 1.006(0.1331) 1.032(0.1326) 0.998(0.1607)
#> 5 1.004(0.1567) 1.042(0.1527) 0.996(0.1628) 0.999(0.1278) 0.982(0.1276)
#> 6 0.980(0.1336) 1.008(0.1457) 1.009(0.1436) 1.013(0.1605) 0.965(0.1392)
#> 7 1.002(0.1518) 1.010(0.1659) 0.979(0.1305) 0.975(0.1521) 0.997(0.1544)
#> 8 1.000(0.1647) 0.971(0.1371) 1.011(0.1291) 0.990(0.1217) 0.993(0.1495)
#> 9 1.012(0.1233) 1.014(0.1499) 0.970(0.1454) 1.006(0.1587) 1.027(0.1741)
#> 10 0.994(0.1725) 0.985(0.1400) 1.007(0.1473) 0.989(0.1652) 0.976(0.1204)
#> year
#> age 1982 1983 1984 1985 1986
#> 1 0.979(0.1476) 0.966(0.1656) 0.961(0.1500) 0.987(0.1335) 1.014(0.1920)
#> 2 0.975(0.1621) 0.983(0.1358) 1.008(0.1408) 0.991(0.1517) 1.000(0.1575)
#> 3 1.034(0.1394) 1.010(0.1557) 0.974(0.1598) 1.033(0.1563) 1.028(0.1211)
#> 4 1.002(0.1899) 0.989(0.1416) 0.984(0.1548) 0.991(0.1283) 0.992(0.1625)
#> 5 1.026(0.1550) 0.978(0.1618) 1.019(0.1324) 0.985(0.1268) 0.999(0.1468)
#> 6 1.012(0.1923) 0.981(0.1607) 1.014(0.1689) 0.990(0.1398) 1.003(0.1445)
#> 7 0.993(0.1782) 0.974(0.1450) 0.979(0.1182) 0.978(0.1569) 1.018(0.1658)
#> 8 0.988(0.1429) 0.975(0.1354) 0.984(0.1411) 0.982(0.1486) 1.020(0.1825)
#> 9 1.015(0.1369) 1.000(0.1565) 0.987(0.1594) 0.984(0.1071) 0.995(0.1752)
#> 10 0.996(0.1586) 1.038(0.1705) 1.005(0.1198) 0.979(0.1573) 1.003(0.1634)
#> year
#> age 1987 1988 1989 1990 1991
#> 1 0.988(0.1187) 1.005(0.1301) 0.996(0.1545) 1.035(0.1689) 0.965(0.1366)
#> 2 1.009(0.1424) 1.019(0.1362) 0.972(0.1449) 1.025(0.1472) 0.994(0.1685)
#> 3 1.026(0.1348) 0.988(0.1115) 0.976(0.1302) 0.970(0.0972) 0.997(0.1544)
#> 4 0.969(0.1384) 1.009(0.1349) 0.989(0.1391) 1.003(0.1536) 1.005(0.1510)
#> 5 1.008(0.1277) 1.019(0.1427) 0.995(0.1358) 1.003(0.1500) 0.981(0.1130)
#> 6 0.993(0.1429) 1.023(0.1341) 0.992(0.1512) 0.987(0.1451) 0.991(0.1253)
#> 7 0.997(0.1309) 1.019(0.1686) 0.989(0.1715) 1.003(0.1534) 1.012(0.1421)
#> 8 0.986(0.1572) 1.015(0.1587) 1.020(0.1466) 1.003(0.1430) 0.997(0.1431)
#> 9 0.993(0.1756) 0.989(0.1570) 1.059(0.1402) 1.013(0.1789) 0.956(0.1389)
#> 10 0.991(0.1514) 0.988(0.1376) 1.020(0.1502) 1.000(0.1549) 0.989(0.1464)
#> year
#> age 1992 1993 1994 1995 1996
#> 1 0.997(0.1262) 0.981(0.1140) 0.985(0.1224) 0.996(0.1457) 1.004(0.1641)
#> 2 1.013(0.1631) 1.017(0.1644) 0.991(0.1231) 1.022(0.1478) 0.999(0.1604)
#> 3 1.021(0.1299) 0.998(0.1378) 0.993(0.1420) 0.978(0.1232) 0.973(0.1468)
#> 4 0.976(0.1535) 1.017(0.1568) 1.011(0.1406) 1.015(0.1463) 0.984(0.1351)
#> 5 1.011(0.1446) 1.001(0.1495) 0.990(0.1488) 1.023(0.1618) 1.044(0.1433)
#> 6 1.007(0.1325) 1.007(0.1406) 1.026(0.1557) 1.004(0.1403) 1.008(0.1527)
#> 7 1.015(0.1562) 1.024(0.1319) 0.997(0.1593) 0.968(0.1471) 1.001(0.1245)
#> 8 1.007(0.1215) 0.991(0.1760) 1.005(0.1611) 0.984(0.1529) 1.012(0.1395)
#> 9 0.989(0.1336) 0.973(0.1240) 1.012(0.1695) 0.994(0.1280) 1.033(0.1396)
#> 10 0.961(0.1277) 1.005(0.1441) 0.992(0.1575) 1.031(0.1728) 1.020(0.1660)
#> year
#> age 1997 1998 1999 2000 2001
#> 1 1.000(0.1522) 1.016(0.1426) 1.024(0.1677) 1.007(0.1789) 1.022(0.1650)
#> 2 1.011(0.1436) 0.989(0.1584) 1.011(0.1661) 0.968(0.1548) 0.996(0.1456)
#> 3 1.040(0.1576) 0.978(0.1725) 0.994(0.1546) 1.009(0.1828) 0.971(0.1615)
#> 4 0.985(0.1516) 1.001(0.1562) 1.023(0.1382) 1.013(0.1716) 1.006(0.1417)
#> 5 0.975(0.1492) 1.020(0.1517) 1.017(0.1511) 1.019(0.1645) 0.969(0.1466)
#> 6 1.007(0.1636) 1.015(0.1500) 0.992(0.1496) 1.010(0.1671) 0.993(0.1397)
#> 7 0.983(0.1326) 0.954(0.1396) 1.023(0.1627) 0.987(0.1614) 1.018(0.1136)
#> 8 1.025(0.1373) 0.988(0.1504) 1.008(0.1402) 0.997(0.1332) 0.970(0.1228)
#> 9 1.011(0.1355) 1.006(0.1292) 0.960(0.1626) 1.030(0.1598) 1.000(0.1791)
#> 10 1.045(0.1641) 1.010(0.1536) 1.003(0.1241) 0.996(0.1332) 1.022(0.1514)
#> year
#> age 2002 2003 2004 2005 2006
#> 1 1.021(0.1477) 1.008(0.1579) 0.974(0.1553) 0.994(0.1506) 1.000(0.1490)
#> 2 0.976(0.1479) 0.975(0.1461) 0.976(0.1659) 1.020(0.1398) 1.012(0.1638)
#> 3 0.978(0.1266) 1.007(0.1490) 0.996(0.1461) 0.974(0.1657) 0.978(0.1513)
#> 4 1.030(0.1768) 1.010(0.1543) 1.005(0.1638) 0.998(0.1424) 1.028(0.1210)
#> 5 0.986(0.1525) 1.031(0.1421) 0.997(0.1444) 1.012(0.1366) 0.997(0.1400)
#> 6 0.971(0.1603) 1.007(0.1690) 0.992(0.1452) 1.000(0.1396) 0.982(0.1406)
#> 7 0.989(0.1446) 1.029(0.1284) 1.008(0.1520) 0.983(0.1315) 0.991(0.1618)
#> 8 0.988(0.1748) 0.989(0.1041) 0.969(0.1513) 0.987(0.1434) 0.996(0.1623)
#> 9 1.029(0.1279) 1.009(0.1658) 1.018(0.1633) 0.989(0.1219) 0.988(0.1514)
#> 10 0.992(0.1822) 0.969(0.1526) 1.003(0.1647) 0.987(0.1359) 0.989(0.1380)
#> year
#> age 2007 2008 2009 2010 2011
#> 1 1.041(0.1579) 1.050(0.1413) 0.968(0.1469) 1.004(0.1506) 0.977(0.1499)
#> 2 1.020(0.1510) 1.011(0.1681) 1.000(0.1502) 0.971(0.1501) 0.979(0.1310)
#> 3 1.024(0.1733) 1.011(0.1510) 0.978(0.1412) 1.025(0.1343) 0.956(0.1508)
#> 4 1.043(0.1610) 0.976(0.1563) 1.019(0.1450) 0.990(0.1331) 1.003(0.1379)
#> 5 1.011(0.1313) 0.989(0.1448) 0.983(0.1344) 1.026(0.1380) 0.975(0.1442)
#> 6 0.989(0.1264) 1.024(0.1707) 1.013(0.1250) 1.022(0.1466) 0.990(0.1776)
#> 7 0.967(0.1558) 0.991(0.1198) 0.998(0.1206) 0.995(0.1853) 1.006(0.1531)
#> 8 1.036(0.1978) 1.008(0.1509) 0.976(0.1488) 0.984(0.1301) 0.974(0.1364)
#> 9 1.001(0.2333) 1.014(0.1280) 0.976(0.1646) 0.995(0.1517) 1.000(0.1491)
#> 10 1.023(0.1803) 1.023(0.1487) 1.022(0.1639) 0.992(0.1477) 0.963(0.1270)
#> year
#> age 2012 2013 2014 2015 2016
#> 1 0.993(0.1629) 0.997(0.1523) 0.998(0.1759) 1.008(0.1325) 1.009(0.1480)
#> 2 1.013(0.1628) 1.011(0.1366) 1.002(0.1410) 1.038(0.1255) 0.981(0.1627)
#> 3 1.029(0.1401) 1.007(0.1432) 0.985(0.1381) 0.990(0.1525) 0.982(0.1282)
#> 4 0.971(0.1419) 0.996(0.1096) 0.982(0.1586) 1.017(0.1606) 0.991(0.1675)
#> 5 1.007(0.1533) 0.978(0.1439) 0.961(0.1529) 1.015(0.1274) 0.987(0.1654)
#> 6 0.992(0.1874) 0.981(0.1267) 1.012(0.1148) 1.006(0.1580) 1.006(0.1787)
#> 7 1.024(0.1530) 1.005(0.1544) 0.967(0.1345) 0.980(0.1226) 1.021(0.1597)
#> 8 0.998(0.1398) 1.007(0.1538) 1.001(0.1550) 1.026(0.1551) 1.005(0.1358)
#> 9 1.004(0.1781) 1.006(0.1460) 1.021(0.1608) 0.996(0.1390) 0.989(0.1540)
#> 10 1.012(0.1429) 1.013(0.1400) 1.007(0.1290) 1.023(0.1413) 0.985(0.1275)
#> year
#> age 2017 2018 2019 2020 2021
#> 1 0.969(0.1226) 0.998(0.1164) 0.970(0.1575) 0.979(0.1515) 0.984(0.1267)
#> 2 0.996(0.1578) 0.990(0.1418) 1.021(0.1313) 0.993(0.1783) 0.993(0.1664)
#> 3 1.027(0.1393) 1.002(0.1259) 1.001(0.1338) 1.025(0.1482) 0.976(0.1591)
#> 4 0.963(0.1570) 1.004(0.1790) 0.987(0.1510) 1.017(0.1565) 0.990(0.1581)
#> 5 0.989(0.1244) 1.005(0.1714) 0.993(0.1242) 1.001(0.1320) 1.028(0.1709)
#> 6 1.001(0.1248) 1.025(0.1657) 0.943(0.1107) 0.968(0.1501) 1.010(0.1266)
#> 7 0.998(0.1512) 1.009(0.1588) 1.026(0.1968) 0.994(0.1535) 0.999(0.1525)
#> 8 0.997(0.1763) 1.014(0.1515) 1.012(0.1466) 0.988(0.1526) 0.989(0.1843)
#> 9 0.988(0.1397) 1.023(0.1530) 1.031(0.1475) 1.013(0.1513) 1.012(0.1531)
#> 10 0.981(0.1751) 1.015(0.1391) 1.038(0.1350) 1.008(0.1750) 0.986(0.1471)
#> year
#> age 2022 2023 2024 2025 2026
#> 1 1.016(0.1269) 1.000(0.1309) 0.995(0.1202) 0.981(0.1710) 1.015(0.1250)
#> 2 0.981(0.1552) 0.995(0.1784) 1.030(0.1450) 0.985(0.1716) 0.997(0.1454)
#> 3 0.979(0.1410) 0.993(0.1686) 0.988(0.1504) 0.998(0.1488) 1.005(0.1255)
#> 4 0.982(0.1380) 1.010(0.1579) 0.989(0.1195) 0.995(0.1614) 1.031(0.1148)
#> 5 0.994(0.1671) 0.997(0.1530) 1.003(0.1673) 1.013(0.1445) 0.996(0.1351)
#> 6 1.031(0.1343) 0.977(0.1172) 1.000(0.1498) 1.034(0.1324) 1.030(0.1526)
#> 7 1.012(0.1248) 1.014(0.1392) 0.998(0.1456) 0.974(0.1161) 1.017(0.1485)
#> 8 1.008(0.1303) 0.981(0.1412) 0.986(0.1195) 1.014(0.1329) 0.996(0.1539)
#> 9 0.987(0.1392) 1.007(0.1527) 0.980(0.1425) 0.993(0.1556) 0.978(0.1314)
#> 10 1.002(0.1438) 0.996(0.1435) 0.983(0.1355) 1.000(0.1301) 1.006(0.1589)
#> year
#> age 2027 2028 2029 2030 2031
#> 1 0.996(0.1335) 1.000(0.1259) 0.984(0.1371) 1.023(0.1302) 1.006(0.1423)
#> 2 0.982(0.1275) 1.022(0.1452) 0.980(0.1451) 1.001(0.1355) 0.957(0.0896)
#> 3 1.006(0.1572) 1.037(0.1557) 1.002(0.1684) 0.983(0.1267) 1.011(0.1892)
#> 4 1.014(0.1613) 0.982(0.1657) 0.961(0.1558) 1.015(0.1618) 0.985(0.1225)
#> 5 1.007(0.1390) 1.029(0.1493) 0.993(0.1519) 1.003(0.1499) 1.010(0.1365)
#> 6 1.000(0.1725) 1.023(0.1493) 0.988(0.1567) 1.006(0.1828) 1.027(0.1440)
#> 7 0.989(0.1282) 1.024(0.1480) 0.991(0.1685) 0.999(0.1412) 1.035(0.1435)
#> 8 1.014(0.1583) 0.965(0.1396) 1.036(0.1299) 0.989(0.1170) 0.988(0.1580)
#> 9 0.986(0.1755) 0.991(0.1585) 1.013(0.1306) 1.010(0.1635) 1.017(0.1690)
#> 10 0.998(0.1230) 1.033(0.1644) 1.021(0.1216) 1.021(0.1340) 1.001(0.1626)
#> year
#> age 2032 2033 2034 2035 2036
#> 1 0.978(0.1575) 0.990(0.1588) 1.030(0.1513) 0.974(0.1702) 1.006(0.1314)
#> 2 0.989(0.1268) 0.961(0.1464) 1.000(0.1465) 1.020(0.1501) 0.996(0.1691)
#> 3 1.005(0.1216) 0.993(0.1853) 0.995(0.1570) 1.008(0.1329) 0.998(0.1442)
#> 4 1.018(0.1349) 1.044(0.1794) 1.017(0.1538) 0.972(0.1295) 0.995(0.1502)
#> 5 1.012(0.1522) 0.983(0.1631) 0.972(0.1465) 0.995(0.1576) 1.036(0.1750)
#> 6 1.014(0.1556) 1.037(0.1532) 1.001(0.1295) 1.021(0.1596) 1.002(0.1497)
#> 7 0.997(0.1362) 1.012(0.1636) 0.994(0.1520) 0.994(0.1262) 0.986(0.1474)
#> 8 1.012(0.1373) 1.019(0.1414) 1.029(0.1598) 0.994(0.1515) 1.005(0.1425)
#> 9 0.975(0.1457) 1.035(0.1653) 1.029(0.1421) 1.007(0.1481) 1.001(0.1659)
#> 10 0.975(0.1380) 0.984(0.1550) 0.994(0.1336) 1.015(0.1550) 0.991(0.1319)
#> year
#> age 2037 2038 2039 2040 2041
#> 1 0.998(0.1706) 1.009(0.1628) 1.005(0.1319) 0.985(0.1334) 1.020(0.1496)
#> 2 0.958(0.1511) 1.036(0.1704) 0.994(0.1418) 1.024(0.1135) 0.990(0.1131)
#> 3 1.005(0.1900) 1.013(0.1686) 1.014(0.1849) 0.962(0.1402) 1.038(0.1281)
#> 4 1.008(0.1206) 0.954(0.1225) 0.995(0.1578) 1.035(0.1352) 1.009(0.1514)
#> 5 0.981(0.1568) 1.017(0.1397) 1.035(0.1526) 0.974(0.1582) 0.986(0.1378)
#> 6 1.006(0.1223) 0.986(0.1275) 0.998(0.1673) 0.994(0.1272) 1.042(0.1431)
#> 7 0.974(0.1377) 1.017(0.1478) 1.003(0.1676) 1.001(0.1698) 0.997(0.1375)
#> 8 0.987(0.1565) 0.999(0.1738) 1.015(0.1494) 0.975(0.1415) 0.997(0.1584)
#> 9 1.005(0.1366) 0.987(0.1304) 0.969(0.1529) 0.956(0.1507) 0.992(0.1526)
#> 10 0.989(0.1123) 0.957(0.1407) 0.987(0.1399) 1.006(0.1233) 1.022(0.1606)
#> year
#> age 2042
#> 1 0.994(0.1167)
#> 2 0.976(0.1472)
#> 3 1.057(0.1844)
#> 4 0.988(0.1640)
#> 5 0.975(0.1638)
#> 6 0.988(0.1802)
#> 7 0.993(0.1314)
#> 8 1.013(0.1541)
#> 9 1.003(0.1654)
#> 10 1.001(0.1631)
#>
#> units: thousands
#>
deviances(oem, "stk", "catch.n")
#> An object of class "FLQuant"
#> iters: 100
#>
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961
#> 1 1.000(0.1896) 1.002(0.1232) 1.030(0.1348) 1.013(0.1545) 0.974(0.1417)
#> 2 0.998(0.1218) 1.023(0.1434) 0.990(0.1548) 0.964(0.1525) 1.012(0.1184)
#> 3 1.004(0.1401) 0.972(0.1319) 0.983(0.1377) 0.994(0.1606) 0.995(0.1253)
#> 4 1.020(0.1386) 1.002(0.1608) 0.992(0.1298) 1.014(0.1393) 1.023(0.1296)
#> 5 1.024(0.1192) 1.053(0.1401) 1.024(0.1454) 1.045(0.1388) 1.014(0.1438)
#> 6 1.020(0.1485) 1.009(0.1345) 0.992(0.1204) 0.981(0.1368) 0.990(0.1599)
#> 7 1.002(0.1514) 0.988(0.1267) 0.997(0.1405) 1.010(0.1598) 1.032(0.1626)
#> 8 0.989(0.1425) 0.996(0.1320) 1.021(0.1426) 1.010(0.1397) 1.007(0.1707)
#> 9 0.979(0.1611) 1.000(0.1827) 1.008(0.1655) 1.001(0.1332) 0.985(0.1379)
#> 10 1.032(0.1300) 0.966(0.1306) 0.999(0.1546) 1.004(0.1382) 1.006(0.1440)
#> year
#> age 1962 1963 1964 1965 1966
#> 1 1.036(0.1411) 0.995(0.1499) 0.981(0.1453) 1.037(0.1561) 0.985(0.1377)
#> 2 1.044(0.1370) 1.017(0.1489) 0.966(0.1404) 1.004(0.1638) 0.995(0.1418)
#> 3 0.980(0.1237) 1.026(0.1699) 0.980(0.1501) 0.980(0.1217) 0.989(0.1466)
#> 4 0.976(0.1598) 0.985(0.0959) 1.001(0.1219) 0.990(0.1817) 1.003(0.1446)
#> 5 0.982(0.1368) 1.010(0.1451) 1.018(0.1700) 0.960(0.1647) 0.993(0.1406)
#> 6 0.991(0.1249) 1.014(0.1463) 0.976(0.1398) 1.006(0.1444) 1.012(0.1164)
#> 7 0.985(0.1257) 0.988(0.1232) 1.017(0.1434) 1.011(0.1366) 0.980(0.1440)
#> 8 1.016(0.1923) 1.022(0.1585) 0.996(0.1238) 1.027(0.1632) 0.998(0.1588)
#> 9 1.029(0.1678) 1.000(0.1576) 0.982(0.1669) 1.015(0.1644) 1.035(0.1587)
#> 10 1.008(0.1597) 0.985(0.1887) 1.032(0.1247) 0.984(0.1453) 1.005(0.1953)
#> year
#> age 1967 1968 1969 1970 1971
#> 1 0.977(0.1194) 0.995(0.1571) 0.999(0.1723) 1.009(0.1428) 1.049(0.1471)
#> 2 1.005(0.1524) 1.003(0.1804) 0.979(0.1378) 1.004(0.1467) 0.965(0.1377)
#> 3 1.012(0.1635) 0.984(0.1331) 1.006(0.1506) 1.022(0.1380) 1.010(0.1613)
#> 4 1.028(0.1628) 0.977(0.1151) 1.034(0.1727) 1.000(0.1505) 0.996(0.1316)
#> 5 1.000(0.1748) 0.994(0.1437) 0.970(0.1487) 1.017(0.1472) 1.000(0.1110)
#> 6 0.993(0.1533) 0.978(0.1438) 0.981(0.1790) 0.986(0.1502) 0.988(0.1827)
#> 7 1.042(0.1590) 1.000(0.1353) 0.987(0.1100) 1.004(0.1613) 0.992(0.1720)
#> 8 0.997(0.1291) 0.986(0.1512) 0.985(0.1142) 0.986(0.1598) 1.016(0.1182)
#> 9 1.015(0.1460) 1.001(0.1658) 1.019(0.1823) 1.047(0.1728) 1.015(0.1756)
#> 10 1.006(0.1345) 1.000(0.1656) 1.003(0.1419) 1.022(0.1603) 1.049(0.1644)
#> year
#> age 1972 1973 1974 1975 1976
#> 1 0.985(0.1850) 0.989(0.1571) 0.980(0.1419) 0.994(0.1355) 0.982(0.1642)
#> 2 1.011(0.1310) 0.978(0.1542) 1.028(0.1323) 0.994(0.1361) 1.006(0.1518)
#> 3 1.001(0.1521) 1.047(0.1361) 1.015(0.1356) 0.987(0.1456) 1.002(0.1680)
#> 4 0.992(0.1346) 0.987(0.1739) 1.028(0.1223) 1.025(0.1535) 1.004(0.1419)
#> 5 1.009(0.1283) 0.992(0.1429) 1.021(0.1485) 0.987(0.1506) 0.991(0.1785)
#> 6 0.990(0.1833) 0.986(0.1461) 0.986(0.1735) 0.985(0.1549) 1.011(0.1526)
#> 7 1.007(0.1645) 1.022(0.1443) 1.009(0.1760) 0.998(0.1437) 1.021(0.1548)
#> 8 0.982(0.1430) 0.997(0.1744) 1.005(0.1295) 1.008(0.1404) 1.023(0.1650)
#> 9 1.011(0.1448) 0.990(0.1421) 1.028(0.1271) 0.994(0.1598) 1.022(0.1440)
#> 10 1.026(0.1386) 1.007(0.1473) 1.002(0.1324) 0.979(0.1217) 1.017(0.1365)
#> year
#> age 1977 1978 1979 1980 1981
#> 1 1.036(0.1675) 0.989(0.1371) 1.018(0.1557) 1.006(0.1587) 1.028(0.1655)
#> 2 1.032(0.1647) 0.991(0.1491) 0.989(0.1674) 0.990(0.1430) 1.032(0.1884)
#> 3 0.996(0.1293) 0.982(0.1660) 0.976(0.1725) 0.989(0.1536) 1.002(0.1359)
#> 4 1.002(0.1467) 0.986(0.1290) 1.006(0.1331) 1.032(0.1326) 0.998(0.1607)
#> 5 1.004(0.1567) 1.042(0.1527) 0.996(0.1628) 0.999(0.1278) 0.982(0.1276)
#> 6 0.980(0.1336) 1.008(0.1457) 1.009(0.1436) 1.013(0.1605) 0.965(0.1392)
#> 7 1.002(0.1518) 1.010(0.1659) 0.979(0.1305) 0.975(0.1521) 0.997(0.1544)
#> 8 1.000(0.1647) 0.971(0.1371) 1.011(0.1291) 0.990(0.1217) 0.993(0.1495)
#> 9 1.012(0.1233) 1.014(0.1499) 0.970(0.1454) 1.006(0.1587) 1.027(0.1741)
#> 10 0.994(0.1725) 0.985(0.1400) 1.007(0.1473) 0.989(0.1652) 0.976(0.1204)
#> year
#> age 1982 1983 1984 1985 1986
#> 1 0.979(0.1476) 0.966(0.1656) 0.961(0.1500) 0.987(0.1335) 1.014(0.1920)
#> 2 0.975(0.1621) 0.983(0.1358) 1.008(0.1408) 0.991(0.1517) 1.000(0.1575)
#> 3 1.034(0.1394) 1.010(0.1557) 0.974(0.1598) 1.033(0.1563) 1.028(0.1211)
#> 4 1.002(0.1899) 0.989(0.1416) 0.984(0.1548) 0.991(0.1283) 0.992(0.1625)
#> 5 1.026(0.1550) 0.978(0.1618) 1.019(0.1324) 0.985(0.1268) 0.999(0.1468)
#> 6 1.012(0.1923) 0.981(0.1607) 1.014(0.1689) 0.990(0.1398) 1.003(0.1445)
#> 7 0.993(0.1782) 0.974(0.1450) 0.979(0.1182) 0.978(0.1569) 1.018(0.1658)
#> 8 0.988(0.1429) 0.975(0.1354) 0.984(0.1411) 0.982(0.1486) 1.020(0.1825)
#> 9 1.015(0.1369) 1.000(0.1565) 0.987(0.1594) 0.984(0.1071) 0.995(0.1752)
#> 10 0.996(0.1586) 1.038(0.1705) 1.005(0.1198) 0.979(0.1573) 1.003(0.1634)
#> year
#> age 1987 1988 1989 1990 1991
#> 1 0.988(0.1187) 1.005(0.1301) 0.996(0.1545) 1.035(0.1689) 0.965(0.1366)
#> 2 1.009(0.1424) 1.019(0.1362) 0.972(0.1449) 1.025(0.1472) 0.994(0.1685)
#> 3 1.026(0.1348) 0.988(0.1115) 0.976(0.1302) 0.970(0.0972) 0.997(0.1544)
#> 4 0.969(0.1384) 1.009(0.1349) 0.989(0.1391) 1.003(0.1536) 1.005(0.1510)
#> 5 1.008(0.1277) 1.019(0.1427) 0.995(0.1358) 1.003(0.1500) 0.981(0.1130)
#> 6 0.993(0.1429) 1.023(0.1341) 0.992(0.1512) 0.987(0.1451) 0.991(0.1253)
#> 7 0.997(0.1309) 1.019(0.1686) 0.989(0.1715) 1.003(0.1534) 1.012(0.1421)
#> 8 0.986(0.1572) 1.015(0.1587) 1.020(0.1466) 1.003(0.1430) 0.997(0.1431)
#> 9 0.993(0.1756) 0.989(0.1570) 1.059(0.1402) 1.013(0.1789) 0.956(0.1389)
#> 10 0.991(0.1514) 0.988(0.1376) 1.020(0.1502) 1.000(0.1549) 0.989(0.1464)
#> year
#> age 1992 1993 1994 1995 1996
#> 1 0.997(0.1262) 0.981(0.1140) 0.985(0.1224) 0.996(0.1457) 1.004(0.1641)
#> 2 1.013(0.1631) 1.017(0.1644) 0.991(0.1231) 1.022(0.1478) 0.999(0.1604)
#> 3 1.021(0.1299) 0.998(0.1378) 0.993(0.1420) 0.978(0.1232) 0.973(0.1468)
#> 4 0.976(0.1535) 1.017(0.1568) 1.011(0.1406) 1.015(0.1463) 0.984(0.1351)
#> 5 1.011(0.1446) 1.001(0.1495) 0.990(0.1488) 1.023(0.1618) 1.044(0.1433)
#> 6 1.007(0.1325) 1.007(0.1406) 1.026(0.1557) 1.004(0.1403) 1.008(0.1527)
#> 7 1.015(0.1562) 1.024(0.1319) 0.997(0.1593) 0.968(0.1471) 1.001(0.1245)
#> 8 1.007(0.1215) 0.991(0.1760) 1.005(0.1611) 0.984(0.1529) 1.012(0.1395)
#> 9 0.989(0.1336) 0.973(0.1240) 1.012(0.1695) 0.994(0.1280) 1.033(0.1396)
#> 10 0.961(0.1277) 1.005(0.1441) 0.992(0.1575) 1.031(0.1728) 1.020(0.1660)
#> year
#> age 1997 1998 1999 2000 2001
#> 1 1.000(0.1522) 1.016(0.1426) 1.024(0.1677) 1.007(0.1789) 1.022(0.1650)
#> 2 1.011(0.1436) 0.989(0.1584) 1.011(0.1661) 0.968(0.1548) 0.996(0.1456)
#> 3 1.040(0.1576) 0.978(0.1725) 0.994(0.1546) 1.009(0.1828) 0.971(0.1615)
#> 4 0.985(0.1516) 1.001(0.1562) 1.023(0.1382) 1.013(0.1716) 1.006(0.1417)
#> 5 0.975(0.1492) 1.020(0.1517) 1.017(0.1511) 1.019(0.1645) 0.969(0.1466)
#> 6 1.007(0.1636) 1.015(0.1500) 0.992(0.1496) 1.010(0.1671) 0.993(0.1397)
#> 7 0.983(0.1326) 0.954(0.1396) 1.023(0.1627) 0.987(0.1614) 1.018(0.1136)
#> 8 1.025(0.1373) 0.988(0.1504) 1.008(0.1402) 0.997(0.1332) 0.970(0.1228)
#> 9 1.011(0.1355) 1.006(0.1292) 0.960(0.1626) 1.030(0.1598) 1.000(0.1791)
#> 10 1.045(0.1641) 1.010(0.1536) 1.003(0.1241) 0.996(0.1332) 1.022(0.1514)
#> year
#> age 2002 2003 2004 2005 2006
#> 1 1.021(0.1477) 1.008(0.1579) 0.974(0.1553) 0.994(0.1506) 1.000(0.1490)
#> 2 0.976(0.1479) 0.975(0.1461) 0.976(0.1659) 1.020(0.1398) 1.012(0.1638)
#> 3 0.978(0.1266) 1.007(0.1490) 0.996(0.1461) 0.974(0.1657) 0.978(0.1513)
#> 4 1.030(0.1768) 1.010(0.1543) 1.005(0.1638) 0.998(0.1424) 1.028(0.1210)
#> 5 0.986(0.1525) 1.031(0.1421) 0.997(0.1444) 1.012(0.1366) 0.997(0.1400)
#> 6 0.971(0.1603) 1.007(0.1690) 0.992(0.1452) 1.000(0.1396) 0.982(0.1406)
#> 7 0.989(0.1446) 1.029(0.1284) 1.008(0.1520) 0.983(0.1315) 0.991(0.1618)
#> 8 0.988(0.1748) 0.989(0.1041) 0.969(0.1513) 0.987(0.1434) 0.996(0.1623)
#> 9 1.029(0.1279) 1.009(0.1658) 1.018(0.1633) 0.989(0.1219) 0.988(0.1514)
#> 10 0.992(0.1822) 0.969(0.1526) 1.003(0.1647) 0.987(0.1359) 0.989(0.1380)
#> year
#> age 2007 2008 2009 2010 2011
#> 1 1.041(0.1579) 1.050(0.1413) 0.968(0.1469) 1.004(0.1506) 0.977(0.1499)
#> 2 1.020(0.1510) 1.011(0.1681) 1.000(0.1502) 0.971(0.1501) 0.979(0.1310)
#> 3 1.024(0.1733) 1.011(0.1510) 0.978(0.1412) 1.025(0.1343) 0.956(0.1508)
#> 4 1.043(0.1610) 0.976(0.1563) 1.019(0.1450) 0.990(0.1331) 1.003(0.1379)
#> 5 1.011(0.1313) 0.989(0.1448) 0.983(0.1344) 1.026(0.1380) 0.975(0.1442)
#> 6 0.989(0.1264) 1.024(0.1707) 1.013(0.1250) 1.022(0.1466) 0.990(0.1776)
#> 7 0.967(0.1558) 0.991(0.1198) 0.998(0.1206) 0.995(0.1853) 1.006(0.1531)
#> 8 1.036(0.1978) 1.008(0.1509) 0.976(0.1488) 0.984(0.1301) 0.974(0.1364)
#> 9 1.001(0.2333) 1.014(0.1280) 0.976(0.1646) 0.995(0.1517) 1.000(0.1491)
#> 10 1.023(0.1803) 1.023(0.1487) 1.022(0.1639) 0.992(0.1477) 0.963(0.1270)
#> year
#> age 2012 2013 2014 2015 2016
#> 1 0.993(0.1629) 0.997(0.1523) 0.998(0.1759) 1.008(0.1325) 1.009(0.1480)
#> 2 1.013(0.1628) 1.011(0.1366) 1.002(0.1410) 1.038(0.1255) 0.981(0.1627)
#> 3 1.029(0.1401) 1.007(0.1432) 0.985(0.1381) 0.990(0.1525) 0.982(0.1282)
#> 4 0.971(0.1419) 0.996(0.1096) 0.982(0.1586) 1.017(0.1606) 0.991(0.1675)
#> 5 1.007(0.1533) 0.978(0.1439) 0.961(0.1529) 1.015(0.1274) 0.987(0.1654)
#> 6 0.992(0.1874) 0.981(0.1267) 1.012(0.1148) 1.006(0.1580) 1.006(0.1787)
#> 7 1.024(0.1530) 1.005(0.1544) 0.967(0.1345) 0.980(0.1226) 1.021(0.1597)
#> 8 0.998(0.1398) 1.007(0.1538) 1.001(0.1550) 1.026(0.1551) 1.005(0.1358)
#> 9 1.004(0.1781) 1.006(0.1460) 1.021(0.1608) 0.996(0.1390) 0.989(0.1540)
#> 10 1.012(0.1429) 1.013(0.1400) 1.007(0.1290) 1.023(0.1413) 0.985(0.1275)
#> year
#> age 2017 2018 2019 2020 2021
#> 1 0.969(0.1226) 0.998(0.1164) 0.970(0.1575) 0.979(0.1515) 0.984(0.1267)
#> 2 0.996(0.1578) 0.990(0.1418) 1.021(0.1313) 0.993(0.1783) 0.993(0.1664)
#> 3 1.027(0.1393) 1.002(0.1259) 1.001(0.1338) 1.025(0.1482) 0.976(0.1591)
#> 4 0.963(0.1570) 1.004(0.1790) 0.987(0.1510) 1.017(0.1565) 0.990(0.1581)
#> 5 0.989(0.1244) 1.005(0.1714) 0.993(0.1242) 1.001(0.1320) 1.028(0.1709)
#> 6 1.001(0.1248) 1.025(0.1657) 0.943(0.1107) 0.968(0.1501) 1.010(0.1266)
#> 7 0.998(0.1512) 1.009(0.1588) 1.026(0.1968) 0.994(0.1535) 0.999(0.1525)
#> 8 0.997(0.1763) 1.014(0.1515) 1.012(0.1466) 0.988(0.1526) 0.989(0.1843)
#> 9 0.988(0.1397) 1.023(0.1530) 1.031(0.1475) 1.013(0.1513) 1.012(0.1531)
#> 10 0.981(0.1751) 1.015(0.1391) 1.038(0.1350) 1.008(0.1750) 0.986(0.1471)
#> year
#> age 2022 2023 2024 2025 2026
#> 1 1.016(0.1269) 1.000(0.1309) 0.995(0.1202) 0.981(0.1710) 1.015(0.1250)
#> 2 0.981(0.1552) 0.995(0.1784) 1.030(0.1450) 0.985(0.1716) 0.997(0.1454)
#> 3 0.979(0.1410) 0.993(0.1686) 0.988(0.1504) 0.998(0.1488) 1.005(0.1255)
#> 4 0.982(0.1380) 1.010(0.1579) 0.989(0.1195) 0.995(0.1614) 1.031(0.1148)
#> 5 0.994(0.1671) 0.997(0.1530) 1.003(0.1673) 1.013(0.1445) 0.996(0.1351)
#> 6 1.031(0.1343) 0.977(0.1172) 1.000(0.1498) 1.034(0.1324) 1.030(0.1526)
#> 7 1.012(0.1248) 1.014(0.1392) 0.998(0.1456) 0.974(0.1161) 1.017(0.1485)
#> 8 1.008(0.1303) 0.981(0.1412) 0.986(0.1195) 1.014(0.1329) 0.996(0.1539)
#> 9 0.987(0.1392) 1.007(0.1527) 0.980(0.1425) 0.993(0.1556) 0.978(0.1314)
#> 10 1.002(0.1438) 0.996(0.1435) 0.983(0.1355) 1.000(0.1301) 1.006(0.1589)
#> year
#> age 2027 2028 2029 2030 2031
#> 1 0.996(0.1335) 1.000(0.1259) 0.984(0.1371) 1.023(0.1302) 1.006(0.1423)
#> 2 0.982(0.1275) 1.022(0.1452) 0.980(0.1451) 1.001(0.1355) 0.957(0.0896)
#> 3 1.006(0.1572) 1.037(0.1557) 1.002(0.1684) 0.983(0.1267) 1.011(0.1892)
#> 4 1.014(0.1613) 0.982(0.1657) 0.961(0.1558) 1.015(0.1618) 0.985(0.1225)
#> 5 1.007(0.1390) 1.029(0.1493) 0.993(0.1519) 1.003(0.1499) 1.010(0.1365)
#> 6 1.000(0.1725) 1.023(0.1493) 0.988(0.1567) 1.006(0.1828) 1.027(0.1440)
#> 7 0.989(0.1282) 1.024(0.1480) 0.991(0.1685) 0.999(0.1412) 1.035(0.1435)
#> 8 1.014(0.1583) 0.965(0.1396) 1.036(0.1299) 0.989(0.1170) 0.988(0.1580)
#> 9 0.986(0.1755) 0.991(0.1585) 1.013(0.1306) 1.010(0.1635) 1.017(0.1690)
#> 10 0.998(0.1230) 1.033(0.1644) 1.021(0.1216) 1.021(0.1340) 1.001(0.1626)
#> year
#> age 2032 2033 2034 2035 2036
#> 1 0.978(0.1575) 0.990(0.1588) 1.030(0.1513) 0.974(0.1702) 1.006(0.1314)
#> 2 0.989(0.1268) 0.961(0.1464) 1.000(0.1465) 1.020(0.1501) 0.996(0.1691)
#> 3 1.005(0.1216) 0.993(0.1853) 0.995(0.1570) 1.008(0.1329) 0.998(0.1442)
#> 4 1.018(0.1349) 1.044(0.1794) 1.017(0.1538) 0.972(0.1295) 0.995(0.1502)
#> 5 1.012(0.1522) 0.983(0.1631) 0.972(0.1465) 0.995(0.1576) 1.036(0.1750)
#> 6 1.014(0.1556) 1.037(0.1532) 1.001(0.1295) 1.021(0.1596) 1.002(0.1497)
#> 7 0.997(0.1362) 1.012(0.1636) 0.994(0.1520) 0.994(0.1262) 0.986(0.1474)
#> 8 1.012(0.1373) 1.019(0.1414) 1.029(0.1598) 0.994(0.1515) 1.005(0.1425)
#> 9 0.975(0.1457) 1.035(0.1653) 1.029(0.1421) 1.007(0.1481) 1.001(0.1659)
#> 10 0.975(0.1380) 0.984(0.1550) 0.994(0.1336) 1.015(0.1550) 0.991(0.1319)
#> year
#> age 2037 2038 2039 2040 2041
#> 1 0.998(0.1706) 1.009(0.1628) 1.005(0.1319) 0.985(0.1334) 1.020(0.1496)
#> 2 0.958(0.1511) 1.036(0.1704) 0.994(0.1418) 1.024(0.1135) 0.990(0.1131)
#> 3 1.005(0.1900) 1.013(0.1686) 1.014(0.1849) 0.962(0.1402) 1.038(0.1281)
#> 4 1.008(0.1206) 0.954(0.1225) 0.995(0.1578) 1.035(0.1352) 1.009(0.1514)
#> 5 0.981(0.1568) 1.017(0.1397) 1.035(0.1526) 0.974(0.1582) 0.986(0.1378)
#> 6 1.006(0.1223) 0.986(0.1275) 0.998(0.1673) 0.994(0.1272) 1.042(0.1431)
#> 7 0.974(0.1377) 1.017(0.1478) 1.003(0.1676) 1.001(0.1698) 0.997(0.1375)
#> 8 0.987(0.1565) 0.999(0.1738) 1.015(0.1494) 0.975(0.1415) 0.997(0.1584)
#> 9 1.005(0.1366) 0.987(0.1304) 0.969(0.1529) 0.956(0.1507) 0.992(0.1526)
#> 10 0.989(0.1123) 0.957(0.1407) 0.987(0.1399) 1.006(0.1233) 1.022(0.1606)
#> year
#> age 2042
#> 1 0.994(0.1167)
#> 2 0.976(0.1472)
#> 3 1.057(0.1844)
#> 4 0.988(0.1640)
#> 5 0.975(0.1638)
#> 6 0.988(0.1802)
#> 7 0.993(0.1314)
#> 8 1.013(0.1541)
#> 9 1.003(0.1654)
#> 10 1.001(0.1631)
#>
#> units: thousands
data(sol274)
#> Warning: namespace ‘patchwork’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘dplyr’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘TMB’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘remotes’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘shiny’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘htmlwidgets’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘xtable’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘FLAssess’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘FLSRTMB’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
x <- iter(oem, 1:50)
dims(observations(x)$stk)$iter
#> [1] 50
dims(deviances(x)$stk$catch.n)$iter
#> [1] 50
dims(deviances(x)$idx[[1]])$iter
#> [1] 50
data(sol274)
#> Warning: namespace ‘patchwork’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘dplyr’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘TMB’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘remotes’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘shiny’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘htmlwidgets’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘xtable’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘FLAssess’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
#> Warning: namespace ‘FLSRTMB’ is not available and has been replaced
#> by .GlobalEnv when processing object ‘om’
iter(oem, 1:50)
#> Observation Error Model
#> Observations of: stk idx len
#>
#> Deviances for stk:
#> 43000 FLQuant numeric
#>
#> Deviances for idx:
#> An object of class "FLQuants"
#>
#> Elements: BTS SNS
#>
#> Name: BTS
#> dim : 10 58 1 1 1 50
#> quant: age
#> units: NA
#>
#> Min : 0.4680723
#> 1st Qu.: 0.8726749
#> Mean : 1.020696
#> Median : 1.001311
#> 3rd Qu.: 1.144209
#> Max : 2.235899
#> NAs : 0 %
#> Name: SNS
#> dim : 6 73 1 1 1 50
#> quant: age
#> units: NA
#>
#> Min : 0.4416628
#> 1st Qu.: 0.875607
#> Mean : 1.021469
#> Median : 1.000582
#> 3rd Qu.: 1.145771
#> Max : 2.124006
#> NAs : 0 %
#>