CorReg (1.2.8)

0 users

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.

Maintainer: Clement THERY
Author(s): 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]

License: CeCILL

Uses: tuneR, missMDA, knitr, rmarkdown

Released over 1 year ago.

5 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of CorReg yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for CorReg on google, google scholar, r-help, r-devel.

Visit CorReg on R Graphical Manual.