doi:10.1038/nprot.2016.178>) is a method to predict individual differences in behaviour from brain functional connectivity. 'cpmr' provides a simple yet efficient implementation of this method.">

cpmr: Connectome Predictive Modelling in R (original) (raw)

Connectome Predictive Modelling (CPM) (Shen et al. (2017) <doi:10.1038/nprot.2016.178>) is a method to predict individual differences in behaviour from brain functional connectivity. 'cpmr' provides a simple yet efficient implementation of this method.

Version: 0.1.0
Imports: generics, Rfast, stats, tibble
Suggests: testthat (≥ 3.0.0), withr
Published: 2024-10-06
DOI: 10.32614/CRAN.package.cpmr
Author: Liang Zhang ORCID iD [aut, cre]
Maintainer: Liang Zhang
BugReports: https://github.com/psychelzh/cpmr/issues
License: MIT + file
URL: https://github.com/psychelzh/cpmr,https://psychelzh.github.io/cpmr/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: cpmr results

Documentation:

Reference manual: cpmr.html , <cpmr.pdf>

Downloads:

Package source: cpmr_0.1.0.tar.gz
Windows binaries: r-devel: cpmr_0.1.0.zip, r-release: cpmr_0.1.0.zip, r-oldrel: cpmr_0.1.0.zip
macOS binaries: r-release (arm64): cpmr_0.1.0.tgz, r-oldrel (arm64): cpmr_0.1.0.tgz, r-release (x86_64): cpmr_0.1.0.tgz, r-oldrel (x86_64): cpmr_0.1.0.tgz
Old sources: cpmr archive

Linking:

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