regsel: Variable Selection and Regression

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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).

Author
Michal Knut
Date of publication
2016-03-09 09:13:48
Maintainer
Michal Knut <1105406k@student.gla.ac.uk>
License
GPL-2
Version
0.2

View on CRAN

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

Files in this package

regsel
regsel/NAMESPACE
regsel/data
regsel/data/concrete.rda
regsel/data/bank.rda
regsel/data/prostate.rda
regsel/R
regsel/R/generalised.R
regsel/R/linear.R
regsel/MD5
regsel/DESCRIPTION
regsel/man
regsel/man/summary.glmsel.Rd
regsel/man/plot.glmsel.Rd
regsel/man/concrete.Rd
regsel/man/lmsel.Rd
regsel/man/prostate.Rd
regsel/man/summary.lmsel.Rd
regsel/man/plot.lmsel.Rd
regsel/man/bank.Rd
regsel/man/glmsel.Rd