CorReg (version 1.2.17)

Linear Regression Based on Linear Structure Between Variables

Description

Linear regression based on a recursive structural equation model (explicit multiples correlations) found by a M.C.M.C.(Markov Chain Monte Carlo) 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. For more information about the method, read the PhD thesis of Clement Thery (2015) in the link below.

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Install

install.packages('CorReg')

Monthly Downloads

185

Version

1.2.17

License

CeCILL

Maintainer

Last Published

February 20th, 2020

Functions in CorReg (1.2.17)