Package: cpmr 0.1.1.9000
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.
Authors:
cpmr_0.1.1.9000.tar.gz
cpmr_0.1.1.9000.zip(r-4.7-any)cpmr_0.1.1.9000.zip(r-4.6-any)cpmr_0.1.1.9000.zip(r-4.5-any)
cpmr_0.1.1.9000.tgz(r-4.6-any)cpmr_0.1.1.9000.tgz(r-4.5-any)
cpmr_0.1.1.9000.tar.gz(r-4.7-any)cpmr_0.1.1.9000.tar.gz(r-4.6-any)
cpmr_0.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cpmr/json (API)
| # Install 'cpmr' in R: |
| install.packages('cpmr', repos = c('https://psychelzh.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/psychelzh/cpmr/issues
Pkgdown/docs site:https://psychelzh.github.io
Last updated from:5d7ad83db2. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 123 | ||
| source / vignettes | OK | 171 | ||
| linux-release | OK | 110 | ||
| macos-release | OK | 102 | ||
| macos-oldrel | OK | 103 | ||
| windows-devel | OK | 76 | ||
| windows-release | OK | 79 | ||
| windows-oldrel | OK | 81 | ||
| wasm-release | OK | 113 |
Dependencies:cligenericsgluelifecyclemagrittrpillarpkgconfigRcppRcppArmadilloRcppParallelRfastrlangtibbleutf8vctrszigg
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Perform Connectome-based Predictive Modeling (CPM) | cpm |
| Summary of a cpm object. | print.cpm_summary summary.cpm |
| Tidy a 'cpm' object | tidy.cpm |