Multivariate Analysis for Neuroimaging Data

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.


mand v29a source patch

This is the first post-v28 development patch. Numeric image-processing conditions remain frozen, while tissue multicoat QC intentionally uses the supplied src.r lineage through an isolated adapter.

Important

  • Do not modify the frozen v28 release.
  • Keep the existing dependency files in mand_patch/R; this patch is layered on top of them.
  • The generated multicoat PNG filenames now use the actual case_id; this is an intentional v29a path change.
  • Numeric NIfTI outputs should match v28. QC PNG hashes are not expected to match.
  • Copy R/*.R into mand_patch/R, rebuild/load the package, then run scripts/run_v29a_pilot6.R.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("mand")

3.0 by Atsushi Kawaguchi, a month ago


Browse source code at https://github.com/cran/mand


Authors: Atsushi Kawaguchi [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, methods, graphics, grDevices, oro.nifti

Suggests testthat, knitr, rmarkdown, caret, mnormt, msma


See at CRAN