Package: PropClust 1.4-7

PropClust: Propensity Clustering and Decomposition

Implementation of propensity clustering and decomposition as described in Ranola et al. (2013) <doi:10.1186/1752-0509-7-21>. Propensity decomposition can be viewed on the one hand as a generalization of the eigenvector-based approximation of correlation networks, and on the other hand as a generalization of random multigraph models and conformity-based decompositions.

Authors:John Michael O Ranola, Kenneth Lange, Steve Horvath, Peter Langfelder

PropClust_1.4-7.tar.gz
PropClust_1.4-7.zip(r-4.5)PropClust_1.4-7.zip(r-4.4)PropClust_1.4-7.zip(r-4.3)
PropClust_1.4-7.tgz(r-4.4-x86_64)PropClust_1.4-7.tgz(r-4.4-arm64)PropClust_1.4-7.tgz(r-4.3-x86_64)PropClust_1.4-7.tgz(r-4.3-arm64)
PropClust_1.4-7.tar.gz(r-4.5-noble)PropClust_1.4-7.tar.gz(r-4.4-noble)
PropClust_1.4-7.tgz(r-4.4-emscripten)PropClust_1.4-7.tgz(r-4.3-emscripten)
PropClust.pdf |PropClust.html✨
PropClust/json (API)

# Install 'PropClust' in R:

install.packages('PropClust', repos = c('https://plangfelder.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

fortran– Runtime library for GNU Fortran applications

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 191 downloads 1 mentions 2 exports 2 dependencies

Last updated 1 years agofrom:2e7c1e810a. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 31 2024
R-4.5-win-x86_64	OK	Oct 31 2024
R-4.5-linux-x86_64	OK	Oct 31 2024
R-4.4-win-x86_64	OK	Oct 31 2024
R-4.4-mac-x86_64	OK	Oct 31 2024
R-4.4-mac-aarch64	OK	Oct 31 2024
R-4.3-win-x86_64	OK	Oct 31 2024
R-4.3-mac-x86_64	OK	Oct 31 2024
R-4.3-mac-aarch64	OK	Oct 31 2024