| FLXSA-class {FLXSA} | R Documentation |
A class for the results of an XSA analysis.
Objects can be created by calls of the form new("FLXSA", ...) and are output by
calls to FLXSA.
survivors:"FLQuant". Numbers-at-age in the final
age of a cohortse.int:"FLQuant". Internal standard errors of
numbers-at-age in the final year se.ext:"FLQuant". External standard errors of
numbers-at-age in the final year n.fshk:"FLQuant". Numbers-at-age in the final
age of a cohort derived from shrinkage to the mean F n.nshk:"FLQuant". Numbers-at-age in the final
age of a cohort derived from shrinkage to the mean N var.fshk:"FLQuant". Numbers-at-age in the final age of a cohort derived from shrinkage to the mean F var.nshk:"FLQuant". Variance assumed for numbers-at-age in the final age of a cohort derived from shrinkage to the mean N q.hat:"list". Estimates of q-at-age by cpue index q2.hat:"list". Estimates of exponent in cpue power
model control:"FLXSA.control". FLXSA.control object used. catch.n:"FLQuant". Estimated catch numbers-at-age,
not estimated stock.n:"FLQuant". Estimated stock numbers-at-age harvest:"FLQuant". Estimated catch F-at-age index.name:"character". Names of cpue indices index:"list". cpue indices, adjusted to start of year index.res:"list". cpue index residuals index.hat:"list". predicted cpue indices index.var:"list". Estimated variance of cpue index
residuals call:"character" representation of the call that created the objectdesc:"character"diagnostics:
Class "FLAssess", directly.
All methods are inherited from FLAssess.
Laurence Kell
Darby, C. D., and Flatman, S. 1994. Virtual Population Analysis: version 3.1 (Windows/Dos) user guide. Info. Tech. Ser., MAFF Direct. Fish. Res., Lowestoft, (1): 85pp.
Shepherd, J.G. 1992. Extended survivors analysis: an improved method for the analysis of catch-at-age data and catch-per-unit-effort data. Working paper No. 11 ICES Multi-species Assessment Working Group, June 1992, Copenhagen, Denmark. 22pp. (mimeo).
Shepherd, J.G. 1994. Prediction of yearclass strength by calibration regression analysis of multiple recruit index series. ICES J. Mar. Sci. In Prep.