Package: glmgraph
Type: Package
Title: Graph-Constrained Regularization for Sparse Generalized Linear
        Models
Version: 1.0.3
Date: 2015-07-19
Author: Li Chen, Jun Chen
Maintainer: Li Chen <li.chen@emory.edu>
Description: 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.
License: GPL-2
Depends: Rcpp (>= 0.11.0)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-10-17 08:05:45 UTC; root
Repository: https://djghosh1123.r-universe.dev
Date/Publication: 2015-07-19 00:00:00 UTC
RemoteUrl: https://github.com/cran/glmgraph
RemoteRef: master
RemoteSha: c0183019510ee8fc4bb657e3b5f6d5b5ddc0fd54