rMVPA is an R library for multivariate pattern analysis of
neuroimaging data. The goal of this library is to make MVPA analyses
easy. It can be used both programmatically from within R or using a
command line interface. ‘rMVPA’ leverages the ‘caret’ library for the
underlying machine learning interface. What rMVPA provides is the
infrastructure for conducting machine learning analyses on neuroimaging
data.
Documentation and vignettes: https://bbuchsbaum.github.io/rMVPA/
To install rMVPA from within R, use the devtools function
install_github. You will need the development version of neuroim2 as
well.
From within R:
#library(devtools)
install_github("bbuchsbaum/neuroim2")
install_github("bbuchsbaum/rMVPA")
git clone git@github.com:bbuchsbaum/rMVPA.git
R CMD install rMVPA
wget https://raw.githubusercontent.com/bbuchsbaum/rMVPA/master/scripts/MVPA_Searchlight.R
wget https://raw.githubusercontent.com/bbuchsbaum/rMVPA/master/scripts/MVPA_Regional.R
Then, move these files to a folder on your PATH and make them
executable:
chmod +x MVPA_Searchlight.R
chmod +x MVPA_Regional.R
The MS-ReVE functionality is implemented in R/contrast_rsa_model.R. There is
no file named contrast_rsa.R; all references should use the
contrast_rsa_model.R filename.