bestRF: Function to select the best rf, but this could be in the...

In isglobal-brge/nlOmicAssoc: non-linar omic association

Description

Random forest is obtained with all vars, oob error is computed and the most important variables an iterated process consists on creating a new rf with the (1-vars.drop.frac)*vars more important obtained in the previous step and generating a new rf model. The process stops when abs(mean(oob error)+sd(oob error)) is >= than previous step or only two vars are left

Usage

bestRF(xdata, Y, ntree = 100, vars.drop.frac = 0.2, verbose = FALSE)

Arguments

xdata	data set to be analyzed
Y	var to analyze
ntree	number of trees
vars.drop.frac	fraction of variables removed at each iteration step, it selects the most important variables 1-fraction at each step

isglobal-brge/nlOmicAssoc documentation built on May 9, 2019, 8:16 a.m.