rMVPA: rMVPA: A package for multi-voxel pattern analysis (MVPA)

In bbuchsbaum/rMVPA: Multivoxel Pattern Analysis in R

rMVPA: A package for multi-voxel pattern analysis (MVPA)

Description

The rMVPA package provides a comprehensive suite of tools for advanced neuroimaging data analysis using multi-voxel pattern analysis (MVPA). It supports various techniques including region-of-interest (ROI) and searchlight analyses. Key functionalities cover:

• Classification-based MVPA

• Representational Similarity Analysis (RSA), including standard RSA, vector-based RSA, and feature-based RSA.

• Contrast RSA (MS-ReVE style analyses)

• Flexible cross-validation schemes

• Feature selection methods

• Tools for constructing and managing MVPA datasets and designs.

Author(s)

Maintainer: Bradley Buchsbaum [e-mail]

See Also

Useful functions:

• mvpa_dataset for creating datasets

• run_searchlight for searchlight analyses

• run_regional for ROI analyses

• rsa_model, contrast_rsa_model, vector_rsa_model for different RSA approaches

For a detailed introduction and examples, see the package vignette: vignette("rMVPA_introduction", package = "rMVPA") (You may need to build vignettes first if installing from source).

bbuchsbaum/rMVPA documentation built on June 10, 2025, 8:23 p.m.