mand: Multivariate Analysis for Neuroimaging Data

Several functions can be used to analyze neuroimaging data using multivariate methods based on the 'msma' package. The functions used in the book entitled "Multivariate Analysis for Neuroimaging Data" (2021, ISBN-13: 978-0367255329) are contained. Please also see Kawaguchi et al. (2017) <doi:10.1093/biostatistics/kxx011> and Kawaguchi (2019) <doi:10.5772/intechopen.80531>.

Version: 1.0
Depends: R (≥ 3.5), msma
Imports: oro.nifti, oro.dicom, imager, caret
Suggests: knitr, rmarkdown
Published: 2021-06-29
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
Citation: mand citation info
CRAN checks: mand results

Downloads:

Reference manual: mand.pdf
Vignettes: Overview
1 Introduction
2 Brain Imaging Data
3 Common Statistical Approach
4.1 Matrix Decomposition
4.2 Prediction Model
5 Multi-block Approach
Package source: mand_1.0.tar.gz
Windows binaries: r-devel: mand_1.0.zip, r-release: mand_1.0.zip, r-oldrel: mand_1.0.zip
macOS binaries: r-release (arm64): mand_1.0.tgz, r-release (x86_64): mand_1.0.tgz, r-oldrel: mand_1.0.tgz
Old sources: mand archive

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