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 |
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 |
Reference manual: | cpmr.pdf |
Package source: | cpmr_0.1.0.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_0.1.0.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 |
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