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>
License: GPL-3
Copyright: Loic Yengo
NeedsCompilation: yes
Citation: clere citation info
Materials: README NEWS
CRAN checks: clere results


Reference manual: clere.pdf
Vignettes: clere


Package source: clere_1.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): clere_1.2.0.tgz, r-release (x86_64): clere_1.2.0.tgz, r-oldrel: clere_1.2.0.tgz
Old sources: clere archive


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