Last data update: 2014.03.03

regsel

Package: regsel
Type: Package
Title: Variable Selection and Regression
Version: 0.2
Date: 2016-02-24
Author: Michal Knut
Maintainer: Michal Knut <1105406k@student.gla.ac.uk>
Description: Functions for fitting linear and generalized linear models with variable selection. The functions can automatically do Stepwise Regression, Lasso or Elastic Net as variable selection methods. Lasso and Elastic net are improved and handle factors better (they can either include or exclude all factor levels).
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
Depends: glmnet, elasticnet
NeedsCompilation: no
Packaged: 2016-03-07 13:27:49 UTC; knutm
Repository: CRAN
Date/Publication: 2016-03-09 09:13:48

● 0 images, 6 functions, 3 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'regsel' ...
** package 'regsel' successfully unpacked and MD5 sums checked
** R
** data
*** moving datasets to lazyload DB
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'regsel'
    finding HTML links ... done
    bank                                    html  
    concrete                                html  
    glmsel                                  html  
    lmsel                                   html  
    plot.glmsel                             html  
    plot.lmsel                              html  
    prostate                                html  
    summary.glmsel                          html  
    summary.lmsel                           html  
** building package indices
** testing if installed package can be loaded
* DONE (regsel)
Making 'packages.html' ... done