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: 0.3-4
Depends: methods
Imports: MASS, glmnet, pscl, numDeriv, foreach, doParallel, bst
Suggests: zic, R.rsp, knitr, gdata
Published: 2017-10-23
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
Citation: mpath citation info
Materials: NEWS
CRAN checks: mpath results


Reference manual: mpath.pdf
Vignettes: Classification of Cancer Patients with Penalized Robust Nonconvex Loss Functions (with Results)
Variable Selection for Health Care Demand in Germany (with Results)
Variable Selection for Health Care Demand in Germany (without Results)
Package source: mpath_0.3-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: mpath_0.3-4.tgz, r-oldrel: mpath_0.3-4.tgz
Old sources: mpath archive

Reverse dependencies:

Reverse imports: bujar


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