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’ provides a lightweight model registry
and efficient resampling methods for machine learning. 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
This package uses the albersdown theme. Vignettes are styled with vignettes/albers.css and a local vignettes/albers.js; the palette family is provided via params$family (default 'red'). The pkgdown site uses template: { package: albersdown }.
This package uses the albersdown theme. Vignettes are styled with vignettes/albers.css and a local vignettes/albers.js; the palette family is provided via params$family (default 'red'). The pkgdown site uses template: { package: albersdown }.
This package uses the albersdown theme. Existing vignette theme hooks are replaced so albers.css and local albers.js render consistently on CRAN and GitHub Pages. The palette family is provided via params$family (default 'red'). The pkgdown site uses template: { package: albersdown }.