ca.sim: generates catch.n with lognormal annual and multinomial age...
In Henning-Winker/FLRef: Reference point computation for advice rules

ca.sim

R Documentation

generates catch.n with lognormal annual and multinomial age composition observation error

Description

generates catch.n with lognormal annual and multinomial age composition observation error

Usage

ca.sim(
  object,
  ess = 200,
  what = c("catch", "landings", "discards")[1],
  rescale = FALSE
)

Arguments

`object`	FLQuant
`ess`	effective sample size for age composition
`what`	c("catch", "landings", "discards")
`rescale`	rescale to the abudance scale of the input
`sel`	FLQuant with selectivity.pattern e.g. catch.sel()

Value

FLQuant with catch.n samples

Examples

data(ple4)
object = propagate(catch.sel(ple4),10)
ca = ca.sim(object,ess=200)
# Checks
ggplot(ca)+geom_line(aes(year,data,col=ac(iter)))+facet_wrap(~age)+
theme(legend.position = "none")+ylab("Index")

Henning-Winker/FLRef documentation built on June 12, 2025, 1:41 a.m.