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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