predict.rf.index: A function to predict CPUE-index from a random forest model...

In rooperc4/GLMGAMRF: Package fits GLM, GAM and Random Forest models to survey data

Description

This function uses a random forest model to produce and index of abundance with associated 95 A dummy variable for year must be included to get the annual abundance index. The function back-transforms the index and the CI's.

Usage

predict.rf.index(data, rf.yvar, rf.form, rf.model, boot_reps = 500)

Arguments

data	data used to formulate the random forest model
rf.yvar	y variables (CPUE) in the random forest model
rf.form	formula for the random forest model
rf.model	random forest model to bootstrap
boot_reps	number of bootstrap replications (default = 500)

Examples

rf.cpue <- randomForest(rf.form,data=PA.data, mtry=3, ntree=1000, importance=TRUE, do.trace=250, keep.forest=TRUE) 
print(rf.cpue)	
rf.index<-predict.rf.index(PA.data,rf.yvar,rf.form,rf.cpue)

rooperc4/GLMGAMRF documentation built on May 17, 2019, 1:30 p.m.