rfCV: cross-validation for a random forest panel

In singha53/amritr: Accessory Functions Used by Amrit Singh

Description

Estimate test error of random forest panel

Usage

rfCV(X, Y, M, folds, progressBar, family, filter, topranked)

Arguments

X	nxp matrix - training dataset
Y	categorical variables
M	= # of folds
folds	list of length M specifiying which samples are in which fold
family	"binomial" or "multinomial"
filter	= "none" or "p.value"
topranked	= 50 (top number of features to select and build a classifier)

singha53/amritr documentation built on July 21, 2019, 3:46 p.m.