CorReg: Linear Regression Based on Linear Structure Between Variables

Linear regression based on a recursive structural equation model (explicit multiples correlations) found by a M.C.M.C. algorithm. It permits to face highly correlated variables. Variable selection is included (by lasso, elastic net, etc.). It also provides some graphical tools for basic statistics.

Version: 1.2.8
Depends: R (≥ 3.0)
Imports: Rcpp (≥ 0.11.0), lars (≥ 1.2), Rmixmod (≥ 2.0.1), elasticnet (≥ 1.1), corrplot (≥ 0.73), Matrix (≥ 1.1), rpart (≥ 4.1-5), glmnet (≥ 2.0-2), MASS (≥ 7.3-30), mvtnorm (≥ 0.9), mclust (≥ 4.2), methods, graphics, grDevices, utils, stats
LinkingTo: Rcpp, RcppEigen
Suggests: clere (≥ 1.1.2), spikeslab (≥ 1.1.5), parcor (≥ 0.2), missMDA (≥ 1.7.3), tuneR, knitr, rmarkdown
Published: 2018-04-23
Author: Clement THERY [aut, cre], Christophe BIERNACKI [ctb], Gaetan LORIDANT [ctb], Florian WATRIN [ctb], Quentin GRIMONPREZ [ctb], Vincent KUBICKI [ctb], Samuel BLANCK [ctb], Jeremie KELLNER [ctb]
Maintainer: Clement THERY <corregeous at correg.org>
License: CeCILL
Copyright: ArcelorMittal
URL: http://www.correg.org
NeedsCompilation: yes
Citation: CorReg citation info
Materials: NEWS
CRAN checks: CorReg results

Downloads:

Reference manual: CorReg.pdf
Vignettes: How to take advantage of CorReg ?
Package source: CorReg_1.2.8.tar.gz
Windows binaries: r-devel: CorReg_1.2.8.zip, r-release: CorReg_1.2.8.zip, r-oldrel: CorReg_1.2.8.zip
OS X binaries: r-release: CorReg_1.2.8.tgz, r-oldrel: CorReg_1.2.1.tgz
Old sources: CorReg archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CorReg to link to this page.