cpmr: Connectome Predictive Modelling in R

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: 0.0.9
Imports: Rfast, stats
Suggests: testthat (≥ 3.0.0), withr
Published: 2024-06-08
DOI: 10.32614/CRAN.package.cpmr
Author: Liang Zhang ORCID iD [aut, cre]
Maintainer: Liang Zhang <psychelzh at outlook.com>
BugReports: https://github.com/psychelzh/cpmr/issues
License: MIT + file LICENSE
URL: https://github.com/psychelzh/cpmr, https://psychelzh.github.io/cpmr/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: cpmr results


Reference manual: cpmr.pdf


Package source: cpmr_0.0.9.tar.gz
Windows binaries: r-devel: cpmr_0.0.9.zip, r-release: cpmr_0.0.9.zip, r-oldrel: cpmr_0.0.9.zip
macOS binaries: r-release (arm64): cpmr_0.0.9.tgz, r-oldrel (arm64): cpmr_0.0.9.tgz, r-release (x86_64): cpmr_0.0.9.tgz, r-oldrel (x86_64): cpmr_0.0.9.tgz
Old sources: cpmr archive


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