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Provides functions for multivariate analysis and visualization of neuroimaging data. The package contains the functions and example data used in the book 'Multivariate Analysis for Neuroimaging Data' by Kawaguchi (2021, ISBN: 978-0367255329). It includes utilities for image visualization, image data matrix construction, basis reconstruction, multicomponent visualization, predictive modeling, simulation, and multiblock analysis. Version 3.0 preserves the public interfaces used in the accompanying package vignettes.
| Version: | 3.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, methods, graphics, grDevices, oro.nifti |
| Suggests: | testthat, knitr, rmarkdown, caret, mnormt, msma |
| Published: | 2026-09-14 |
| DOI: | 10.32614/CRAN.package.mand |
| Author: | Atsushi Kawaguchi [aut, cre] |
| Maintainer: | Atsushi Kawaguchi <kawa_a24 at yahoo.co.jp> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | mand citation info |
| Materials: | README, NEWS |
| CRAN checks: | mand results |
| Reference manual: | mand.html , mand.pdf |
| Vignettes: |
Overview (source, R code) 1 Introduction (source, R code) 2 Brain Imaging Data (source, R code) 3 Common Statistical Approach (source, R code) 4.1 Matrix Decomposition (source, R code) 4.2 Prediction Model (source, R code) 5 Multi-block Approach (source, R code) |
| Package source: | mand_3.0.tar.gz |
| Windows binaries: | r-devel: mand_2.0.zip, r-release: mand_2.0.zip, r-oldrel: mand_2.0.zip |
| macOS binaries: | r-release (arm64): mand_2.0.tgz, r-oldrel (arm64): mand_3.0.tgz, r-release (x86_64): mand_3.0.tgz, r-oldrel (x86_64): mand_3.0.tgz |
| Old sources: | mand archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.