mpath: Regularized Linear Models

Algorithms for fitting model-based penalized coefficient paths. Currently the models include penalized Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial regression models. The penalties include least absolute shrinkage and selection operator (LASSO), smoothly clipped absolute deviation (SCAD) and minimax concave penalty (MCP), and each possibly combining with L_2 penalty.

Version: 0.2-4
Depends: methods
Imports: MASS, glmnet, pscl, numDeriv, foreach, doParallel
Suggests: zic, R.rsp
Published: 2016-08-30
Author: Zhu Wang, with contributions from Achim Zeileis, Simon Jackman, Brian Ripley, Trevor Hastie, Rob Tibshirani, Balasubramanian Narasimhan, Gil Chu and Patrick Breheny
Maintainer: Zhu Wang <zwang at>
License: GPL-2
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Materials: NEWS
CRAN checks: mpath results


Reference manual: mpath.pdf
Vignettes: Variable Selection for Health Care Demand in Germany (Long)
Variable Selection for Health Care Demand in Germany (Short)
Package source: mpath_0.2-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: mpath_0.2-4.tgz, r-oldrel: mpath_0.2-4.tgz
Old sources: mpath archive

Reverse dependencies:

Reverse imports: bujar


Please use the canonical form to link to this page.