simpspm: simpspm simply calculates the predicted CE for an SPM

In haddonm/datalowSA: A Package to Faciliate Application of Data poor Stock Assessments

simpspm simply calculates the predicted CE for an SPM

Description

simpspm calculates the predicted CPUE for an SPM model. It assumes that there is a variable called 'p' in the global environment and this 'p' variable determines the asymmetry of the production curve. If p = 1.0 then the SPM is the Schaefer model, if it is 1e-8 it approximates the Fox model.

Usage

simpspm(par, indat, schaefer = TRUE)

Arguments

par	the parameters of the SPM = r, K, and Binit
indat	the data which needs to include year, catch, and CPUE
schaefer	a logical value determining whether the spm is to be a simple Schaefer model (p=1) or approximately a Fox model (p=1e-08). The default is TRUE

Value

a vector of nyrs of the predicted CPUE

Examples

## Not run: 
data(dataspm)
fish <- dataspm$fish
fish
colnames(fish) <- tolower(colnames(fish)) 
pars <- c(r=0.242,K=5170,Binit=2840) 
predCE <- simpspm(pars,fish) 
cbind(fish[,"year"],fish[,"cpue"],predCE)

## End(Not run)

haddonm/datalowSA documentation built on Nov. 5, 2023, 6:40 p.m.