Parallelize rfcv() function for feature selection in randomForest package

Question

I wonder if anyone knows how to parallelize rfcv() function implemented in R-package 'randomForest'. Sorry if the question sounds very basic, but I tried to do this using 'foreach' without any results.

Answer 1

Have a look at the caret package and its documentation.

It not only is more general (allowing for more models than "just" random forests) but also integrates pre- and post-processing --- while also giving you parallel execution where feasible, particularly for evaluation and cross-validation which is an "embarassingly parallel" problem.