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.
|Author||Clement Thery [aut, cre], Christophe Biernacki [ths], Gaetan Loridant [ths], Florian Watrin [ctb], Quentin Grimonprez [ctb], Vincent Kubicki [ctb], Samuel Blanck [ctb], Jeremie Kellner [ctb]|
|Maintainer||Clement Thery <[email protected]>|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.