msgps: Degrees of freedom of elastic net, adaptive lasso and generalized elastic net
Version 1.3

This package computes the degrees of freedom of the lasso, elastic net, generalized elastic net and adaptive lasso based on the generalized path seeking algorithm. The optimal model can be selected by model selection criteria including Mallows' Cp, bias-corrected AIC (AICc), generalized cross validation (GCV) and BIC.

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AuthorKei Hirose
Date of publication2012-05-17 06:51:28
MaintainerKei Hirose <mail@keihirose.com>
LicenseGPL (>= 2)
Version1.3
URL http://www.keihirose.com/.
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("msgps")

Man pages

msgps: msgps (Model Selection Criteria via Generalized Path Seeking)
plot.msgps: plot the solution path from a "msgps" object.
predict.msgps: make predictions from a "msgps" object.
summary.msgps: A summary of "msgps" object..

Functions

aicc.dfgps Man page Source code
bic.dfgps Man page Source code
coef.dfgps Man page Source code
coef.msgps Man page Source code
coef.step.dfgps Man page Source code
coefmat.dfgps Man page Source code
cp.dfgps Man page Source code
dfgps Man page Source code
gcv.dfgps Man page Source code
msgps Man page Source code
plot.df Man page Source code
plot.msgps Man page Source code
predict.msgps Man page Source code
print.msgps Man page Source code
summary.msgps Man page Source code

Files

MD5
src
src/Makevars
src/GPS_v3.2.c
R
R/summary.msgps.R
R/print.msgps.R
R/predict.msgps.R
R/plot.msgps.R
R/plot.df.R
R/msgps.R
R/gcv.dfgps.R
R/dfgps.R
R/cp.dfgps.R
R/coefmat.dfgps.R
R/coef.step.dfgps.R
R/coef.msgps.R
R/coef.dfgps.R
R/bic.dfgps.R
R/aicc.dfgps.R
NAMESPACE
man
man/summary.msgps.Rd
man/predict.msgps.Rd
man/plot.msgps.Rd
man/msgps.Rd
DESCRIPTION
msgps documentation built on May 19, 2017, 10:06 p.m.