glmgraph: Graph-Constrained Regularization for Sparse Generalized Linear Models
Version 1.0.3

We propose to use sparse regression model to achieve variable selection while accounting for graph-constraints among coefficients. Different linear combination of a sparsity penalty(L1) and a smoothness(MCP) penalty has been used, which induces both sparsity of the solution and certain smoothness on the linear coefficients.

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AuthorLi Chen, Jun Chen
Date of publication2015-07-19 09:52:47
MaintainerLi Chen <li.chen@emory.edu>
LicenseGPL-2
Version1.0.3
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("glmgraph")

Man pages

coef.cv.glmgraph: Retrieve coefficients from a fitted "cv.glmgraph" object.
coef.glmgraph: Retrieve coefficients from a fitted "glmgraph" object.
cv.glmgraph: Cross-validation for glmgraph
glmgraph: Fit a GLM with a combination of sparse and smooth...
glmgraph-package: Fit a GLM with a combination of sparse and smooth...
plot.cv.glmgraph: Plot the cross-validation curve produced by cv.glmgraph
plot.glmgraph: Plot coefficients from a "glmgraph" object
predict.cv.glmgraph: make prediction from a fitted "cv.glmgraph" object.
predict.glmgraph: Model predictions based on a fitted "glmgraph" object.
print.cv.glmgraph: print a glmgraph object

Functions

auc Source code
coef.cv.glmgraph Man page Source code
coef.glmgraph Man page Source code
cv.glmgraph Man page Source code
error.bars Source code
getmin Source code
glmgraph Man page Source code
glmgraph-package Man page
plot.cv.glmgraph Man page Source code
plot.glmgraph Man page Source code
predict.cv.glmgraph Man page Source code
predict.glmgraph Man page Man page Source code
print.cv.glmgraph Man page Source code
setcrit Source code
setcritcv Source code
setupLambda Source code
standardizeX Source code
unstandardizeX Source code

Files

src
src/binomial_utils.h
src/utils.c
src/binomial.cpp
src/gaussian_utils.h
src/binomial_utils.cpp
src/gaussian_utils.cpp
src/Makevars.win
src/gaussian.cpp
NAMESPACE
R
R/coef.glmgraph.R
R/predict.glmgraph.R
R/print.cv.glmgraph.R
R/coef.cv.glmgraph.R
R/plot.R
R/unstandardize.R
R/cv.glmgraph.R
R/plot.cv.R
R/standardize.R
R/predict.cv.glmgraph.R
R/setuplambda.R
R/glmgraph.R
R/setcriteria.R
MD5
DESCRIPTION
man
man/predict.cv.glmgraph.Rd
man/plot.glmgraph.Rd
man/plot.cv.glmgraph.Rd
man/glmgraph-package.Rd
man/print.cv.glmgraph.Rd
man/glmgraph.Rd
man/coef.cv.glmgraph.Rd
man/predict.glmgraph.Rd
man/coef.glmgraph.Rd
man/cv.glmgraph.Rd
glmgraph documentation built on May 29, 2017, 9:36 a.m.