clere: Simultaneous Variables Clustering and Regression

Implements an empirical Bayes approach for simultaneous variable clustering and regression. This version also (re)implements in C++ an R script proposed by Howard Bondell that fits the Pairwise Absolute Clustering and Sparsity (PACS) methodology (see Sharma et al (2013) <doi:10.1080/15533174.2012.707849>).

Version: 1.2.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.0), graphics, methods, parallel, utils
LinkingTo: Rcpp, RcppEigen
Suggests: covr (≥ 3.4.0), knitr (≥ 1.26), lasso2 (≥ 1.2.20)
Published: 2020-02-06
Author: Loic Yengo [aut, cre], Mickaël Canouil ORCID iD [aut]
Maintainer: Loic Yengo <loic.yengo at gmail.com>
BugReports: https://github.com/mcanouil/clere/issues
License: GPL-3
Copyright: Loic Yengo
URL: https://github.com/mcanouil/clere
NeedsCompilation: yes
Citation: clere citation info
Materials: README NEWS
CRAN checks: clere results

Downloads:

Reference manual: clere.pdf
Vignettes: clere
Package source: clere_1.2.0.tar.gz
Windows binaries: r-prerelease: clere_1.2.0.zip, r-release: clere_1.2.0.zip, r-oldrel: clere_1.2.0.zip
macOS binaries: r-prerelease: clere_1.2.0.tgz, r-release: clere_1.2.0.tgz, r-oldrel: clere_1.2.0.tgz
Old sources: clere archive

Reverse dependencies:

Reverse suggests: CorReg

Linking:

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