Package: cpmr 0.1.0.9000

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:Liang Zhang [aut, cre]

cpmr_0.1.0.9000.tar.gz
cpmr_0.1.0.9000.zip(r-4.5)cpmr_0.1.0.9000.zip(r-4.4)cpmr_0.1.0.9000.zip(r-4.3)
cpmr_0.1.0.9000.tgz(r-4.4-any)cpmr_0.1.0.9000.tgz(r-4.3-any)
cpmr_0.1.0.9000.tar.gz(r-4.5-noble)cpmr_0.1.0.9000.tar.gz(r-4.4-noble)
cpmr_0.1.0.9000.tgz(r-4.4-emscripten)cpmr_0.1.0.9000.tgz(r-4.3-emscripten)
cpmr.pdf |cpmr.html
cpmr/json (API)
NEWS

# Install 'cpmr' in R:
install.packages('cpmr', repos = c('https://psychelzh.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/psychelzh/cpmr/issues

On CRAN:

3.85 score 4 scripts 268 downloads 2 exports 18 dependencies

Last updated 2 months agofrom:53ba42be00. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winOKNov 05 2024
R-4.5-linuxOKNov 05 2024
R-4.4-winOKNov 05 2024
R-4.4-macOKNov 05 2024
R-4.3-winOKNov 05 2024
R-4.3-macOKNov 05 2024

Exports:cpmtidy

Dependencies:clifansigenericsgluelifecyclemagrittrpillarpkgconfigRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastrlangtibbleutf8vctrs