mpath (0.3-20)

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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. See Wang et al. (2014) , Wang et al. (2015) , Wang et al. (2016) .

Maintainer: Zhu Wang
Author(s): Zhu Wang, with contributions from Achim Zeileis, Simon Jackman, Brian Ripley, Trevor Hastie, Rob Tibshirani, Balasubramanian Narasimhan, Gil Chu and Patrick Breheny

License: GPL-2

Uses: bst, doParallel, foreach, MASS, numDeriv, pscl, R.rsp, gdata, zic, knitr

Released 10 days ago.

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