Conditional age-at-length fits as mean age within each length bin

A conditional age-at-length observation is an age composition within one length bin, and a model can have thousands of them, so the composition itself is not something to plot row by row. The mean age within each length bin is the summary that reads: it is what the data say about growth, and it is the statistic Francis reweighting penalizes the fit against. Returned observed and predicted, so the same frame draws mean age over years and mean age against length pooled over years. Residuals come from get_osa with comp_source = "Fish_caal" or "Srv_caal", plotted with plot_resids.

Usage

get_caal_fits(data, rep)

Arguments

data

Data list from the fitted model.

rep

Report list from the fitted model.

Value

A data frame with one row per region, year, season, length bin, sex and fleet that aged fish, holding obs and pred mean age, the predicted standard deviation of age within the bin (sd_pred) and the number aged (ISS). Empty when the model has no conditional age-at-length data.