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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:	0.1.0
Imports:	generics, Rfast, stats, tibble
Suggests:	testthat (≥ 3.0.0), withr
Published:	2024-10-06
DOI:	10.32614/CRAN.package.cpmr
Author:	Liang Zhang [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

Documentation:

Reference manual:

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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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.