regsel: Variable Selection and Regression
Version 0.2

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).

Browse man pages Browse package API and functions Browse package files

AuthorMichal Knut
Date of publication2016-03-09 09:13:48
MaintainerMichal Knut <1105406k@student.gla.ac.uk>
LicenseGPL-2
Version0.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("regsel")

Man pages

bank: bank dataset
concrete: concrete dataset
glmsel: Generalised linear models with variable selection
lmsel: Linear regression with variable selection
plot.glmsel: Plot 'glmsel' objects
plot.lmsel: Plot 'lmsel' objects
prostate: prostate dataset
summary.glmsel: Summary of 'glmsel' objects
summary.lmsel: Summary of 'lmsel' objects

Functions

bank Man page
concrete Man page
glmsel Man page Source code
glmsel.default Source code
linmodEst Source code
lmsel Man page Source code
lmsel.default Source code
plot.glmsel Man page Source code
plot.lmsel Man page Source code
print.glmsel Source code
print.lmsel Source code
print.summary.glmsel Source code
print.summary.lmsel Source code
prostate Man page
summary.glmsel Man page Source code
summary.lmsel Man page Source code

Files

NAMESPACE
data
data/concrete.rda
data/bank.rda
data/prostate.rda
R
R/generalised.R
R/linear.R
MD5
DESCRIPTION
man
man/summary.glmsel.Rd
man/plot.glmsel.Rd
man/concrete.Rd
man/lmsel.Rd
man/prostate.Rd
man/summary.lmsel.Rd
man/plot.lmsel.Rd
man/bank.Rd
man/glmsel.Rd
regsel documentation built on May 20, 2017, 2:24 a.m.