scape (version 2.3.5)

estSigmaR: Estimate Recruitment Sigma

Description

Estimate sigma R (recruitment variability), based on the empirical standard deviation of recruitment deviates in log space.

Usage

estSigmaR(model, digits=2)

Value

Vector of two numbers, estimating recruitment variability based on (1) the estimated age composition in the first year, and (2) subsequent annual recruitment.

Arguments

model

fitted scape model containing element Dev.

digits

number of decimal places to use when rounding, or NULL to suppress rounding.

See Also

getN, getSigmaI, getSigmaR, estN, estSigmaI, and estSigmaR extract and estimate sample sizes and sigmas.

iterate combines all the get* and est* functions in one call.

plotN and plotB(..., what="s") show what is behind the sigma R estimation.

scape-package gives an overview of the package.

Examples

getSigmaR(x.cod)  # sigmaR used in assessment 0.5 and 1.0
estSigmaR(x.cod)  # model estimates imply 0.20 and 0.52

getSigmaR(x.ling)  # 0.6, deterministic age distribution in first year
estSigmaR(x.ling)  # model estimates imply 0.36

getSigmaR(x.sbw)
estSigmaR(x.sbw)  # large deviates in first year
plotN(x.sbw)      # enormous plus group and 1991 cohort

# x.oreo assessment had deterministic recruitment, so no deviates