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.

Author | Li Chen, Jun Chen |

Date of publication | 2015-07-19 09:52:47 |

Maintainer | Li Chen <li.chen@emory.edu> |

License | GPL-2 |

Version | 1.0.3 |

**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

glmgraph

glmgraph/src

glmgraph/src/binomial_utils.h

glmgraph/src/utils.c

glmgraph/src/binomial.cpp

glmgraph/src/gaussian_utils.h

glmgraph/src/binomial_utils.cpp

glmgraph/src/gaussian_utils.cpp

glmgraph/src/Makevars.win

glmgraph/src/gaussian.cpp

glmgraph/NAMESPACE

glmgraph/R

glmgraph/R/coef.glmgraph.R
glmgraph/R/predict.glmgraph.R
glmgraph/R/print.cv.glmgraph.R
glmgraph/R/coef.cv.glmgraph.R
glmgraph/R/plot.R
glmgraph/R/unstandardize.R
glmgraph/R/cv.glmgraph.R
glmgraph/R/plot.cv.R
glmgraph/R/standardize.R
glmgraph/R/predict.cv.glmgraph.R
glmgraph/R/setuplambda.R
glmgraph/R/glmgraph.R
glmgraph/R/setcriteria.R
glmgraph/MD5

glmgraph/DESCRIPTION

glmgraph/man

glmgraph/man/predict.cv.glmgraph.Rd
glmgraph/man/plot.glmgraph.Rd
glmgraph/man/plot.cv.glmgraph.Rd
glmgraph/man/glmgraph-package.Rd
glmgraph/man/print.cv.glmgraph.Rd
glmgraph/man/glmgraph.Rd
glmgraph/man/coef.cv.glmgraph.Rd
glmgraph/man/predict.glmgraph.Rd
glmgraph/man/coef.glmgraph.Rd
glmgraph/man/cv.glmgraph.Rd
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