kfold_ind_rsf: 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 RSF .

Description

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

Usage

kfold_ind_rsf(
  m = 1,
  mod_ls,
  ls = ls,
  cutoff = 0,
  k = 5,
  nrepet = 5,
  nbins = 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)
nbins	Number of bins (default =10)

Value

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

Examples

data(goats)
ls1<-list()
ls1[[1]]<-as.formula(STATUS~ELEVATION+SLOPE+ET+ASPECT+HLI+TASP)
ls1[[2]]<-as.formula(STATUS~ET+ASPECT+HLI+TASP)
out<-rsf_ind(goats$ID, data=goats, form_ls=ls1)
kfold_ind_rsf(m=1, out, ls=ls1)

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