Package: ProxReg
Type: Package
Title: Linear Models for Prediction and Classification using Proximal
        Operators
Version: 1.1.2
Date: 2025-06-16
Maintainer: YingHong Chen <yinghongchen1402@gmail.com>
Authors@R: c(person("YingHong","Chen",role = c("aut", "cre"),email = "yinghongchen1402@gmail.com"),
            person("Ferran","Reverter Comes",role=c("aut"),email = "freverter@ub.edu"),
            person("Esteban", "Vegas Lozano",role=c("aut"),email="evegas@ub.edu"))
Description: Implements optimization techniques for Lasso regression,
        R.Tibshirani(1996)<doi:10.1111/j.2517-6161.1996.tb02080.x>
        using Fast Iterative Shrinkage-Thresholding Algorithm (FISTA)
        and Iterative Shrinkage-Thresholding Algorithm (ISTA) based on
        proximal operators, A.Beck(2009)<doi:10.1137/080716542>. The
        package is useful for high-dimensional regression problems and
        includes cross-validation procedures to select optimal penalty
        parameters.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown,
VignetteBuilder: knitr
Imports: dplyr, EBImage, glmnet
NeedsCompilation: no
Packaged: 2026-10-18 06:48:48 UTC; root
Author: YingHong Chen [aut, cre], Ferran Reverter Comes [aut], Esteban
        Vegas Lozano [aut]
Config/pak/sysreqs: cmake libfftw3-dev make libjpeg-dev libpng-dev
        libtiff-dev libuv1-dev
Repository: https://doufu1402.r-universe.dev
Date/Publication: 2025-06-17 09:00:12 UTC
RemoteUrl: https://github.com/cran/ProxReg
RemoteRef: HEAD
RemoteSha: 72f0b9ca6374be1d24fff11748b20629a8c580ef