Package: mpath
Title: Regularized Linear Models
Version: 0.4-2.22
Date: 2022-02-14
Author: Zhu Wang, with contributions from Achim Zeileis, Simon Jackman,
        Brian Ripley, and Patrick Breheny
Maintainer: Zhu Wang <wangz1@uthscsa.edu>
Description: Algorithms compute robust estimators for loss functions in
        the concave convex (CC) family by the iteratively reweighted
        convex optimization (IRCO), an extension of the iteratively
        reweighted least squares (IRLS). The IRCO reduces the weight of
        the observation that leads to a large loss; it also provides
        weights to help identify outliers. Applications include robust
        (penalized) generalized linear models and robust support vector
        machines. The package also contains penalized Poisson, negative
        binomial, zero-inflated Poisson, zero-inflated negative
        binomial regression models and robust models with non-convex
        loss functions. Wang et al. (2014) <doi:10.1002/sim.6314>, Wang
        et al. (2015) <doi:10.1002/bimj.201400143>, Wang et al. (2016)
        <doi:10.1177/0962280214530608>, Wang (2021)
        <doi:10.1007/s11749-021-00770-2>, Wang (2020)
        <arXiv:2010.02848>.
Depends: R (>= 3.5.0), methods, glmnet, pamr
Imports: MASS, pscl, numDeriv, foreach, doParallel, bst, WeightSVM
Suggests: zic, R.rsp, knitr, rmarkdown, gdata, e1071, SparseM, slam
VignetteBuilder: R.rsp, knitr
License: GPL-2
URL: https://github.com/zhuwang46/mpath
BugReports: https://github.com/zhuwang46/mpath
Packaged: 2026-06-24 08:38:59 UTC; root
NeedsCompilation: yes
RoxygenNote: 7.1.1
Repository: https://zhuwang46.r-universe.dev
Date/Publication: 2022-02-16 15:51:35 UTC
RemoteUrl: https://github.com/zhuwang46/mpath
RemoteRef: HEAD
RemoteSha: 8d251b15873c67ca07034c52d8a9f78a85c94717