kfold_ind_ssf: Perform kfold cross-validation at the individual level for an...

In BastilleRousseau/IndRSA: An R package for individual-level Resource Selection Analysis

Perform kfold cross-validation at the individual level for an SSF .

Description

Perform kfold cross-validation at the individual level and return histogram and mean kfold accross individual

Usage

kfold_ind_ssf(m = 1, mod_ls, ls = ls, cutoff = 0, k = 5, nrepet = 10, grph = T)

Arguments

m	model number (based on number in list of formula provided to rsf_ind)
mod_ls	A list of list of model generated by rsf_ind
ls	A list of list of formula fed into rsf_ind
cutoff	A cutoff value to exclude individuals with bad fit, default = -1 indicating model that did not converge will be excluded. Values > 0 will exclude based on coefficient
k	number of fold (default = 5)
nrepet	Number of repetitions (default =10)

Value

A vector of mean kfold score for each individual and an (optional) histogram

Examples

data(deer)
deer$log_sl<-log(deer$step_length)
ls2<-list()
ls2[[1]]<-as.formula(STATUS~forest+hummod+log_sl+strata(STRATA))
ls2[[2]]<-as.formula(STATUS~forest+log_sl+strata(STRATA))
out<-ssf_ind(deer$ID, data=deer, form_ls=ls2)
kfold_ind_ssf(m=1, out, ls=ls1)

BastilleRousseau/IndRSA documentation built on July 1, 2024, 7:48 a.m.