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-4.7)PropClust_1.4-7.zip(r-4.6)PropClust_1.4-7.zip(r-4.5)
PropClust_1.4-7.tgz(r-4.6-x86_64)PropClust_1.4-7.tgz(r-4.6-arm64)PropClust_1.4-7.tgz(r-4.5-x86_64)PropClust_1.4-7.tgz(r-4.5-arm64)
PropClust_1.4-7.tar.gz(r-4.7-arm64)PropClust_1.4-7.tar.gz(r-4.7-x86_64)PropClust_1.4-7.tar.gz(r-4.6-arm64)PropClust_1.4-7.tar.gz(r-4.6-x86_64)
PropClust_1.4-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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.

fortran

1.00 score 2 scripts 209 downloads 1 mentions 2 exports 2 dependencies

Last updated from:2e7c1e810a. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	93
linux-devel-x86_64	OK	103
source / vignettes	OK	151
linux-release-arm64	OK	102
linux-release-x86_64	OK	103
macos-release-arm64	OK	144
macos-release-x86_64	OK	298
macos-oldrel-arm64	OK	163
macos-oldrel-x86_64	OK	259
windows-devel	OK	84
windows-release	OK	76
windows-oldrel	OK	79
wasm-release	OK	98