Revision d1e56016b24280a68fd7b136a5b980a4ea9593a4 authored by Zhu Wang on 23 October 2017, 17:18:11 UTC, committed by cran-robot on 23 October 2017, 17:18:11 UTC
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DESCRIPTION
Package: mpath
Title: Regularized Linear Models
Version: 0.3-4
Date: 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@connecticutchildrens.org>
Description: 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.
Imports: MASS,glmnet,pscl,numDeriv, foreach, doParallel, bst
Depends: methods
Suggests: zic, R.rsp, knitr, gdata
VignetteBuilder: R.rsp, knitr
License: GPL-2
Packaged: 2017-10-23 13:52:26 UTC; zhu
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2017-10-23 18:18:11 UTC
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