CorReg: Linear Regression Based on Linear Structure Between Variables
Version 1.2.1

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.

Package details

AuthorClement THERY [aut, cre], Christophe BIERNACKI [ctb], Gaetan LORIDANT [ctb], Florian WATRIN [ctb], Quentin GRIMONPREZ [ctb], Vincent KUBICKI [ctb], Samuel BLANCK [ctb], Jeremie KELLNER [ctb]
Date of publication2017-05-03 06:29:43 UTC
MaintainerClement THERY <[email protected]>
Package repositoryView on CRAN
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CorReg documentation built on May 29, 2017, 11:46 a.m.