simu_avg: Un-weighted population average based on simulated...

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

Un-weighted population average based on simulated coefficients

Description

Calculate population average for each replicate of simulated coefficients

Usage

simu_avg(simu)

Arguments

simu	An array of simulated individual coefficients based on their uncertainties(output of simu_coefs)

Value

A matrix of population averages (one value for each covariates and replicates)

Examples

data(goats)
ls1<-list()
ls1[[1]]<-as.formula(STATUS~ELEVATION+SLOPE+ET+ASPECT+HLI+TASP)
out<-rsf_ind(goats$ID, data=goats, form_ls=ls1)
coef<-ind_coef(m=1, out)
se<-ind_se(m=1, out)
simu<-simu_coefs(coef, se, n=100)
avg<-simu_avg(simu)
colnames(avg)<-names(coef)
head(avg)
apply(avg, 2, quantile, na.rm=T) #Show variation around estimate of each covariate
colMeans(avg) #Calculate average population average

BastilleRousseau/IndRSA documentation built on Jan. 28, 2024, 2:14 a.m.