Package: PUlasso
Type: Package
Title: High-Dimensional Variable Selection with Presence-Only Data
Version: 3.2.6
Date: 2026-2-11
Authors@R: c(person("Hyebin", "Song", role = c("aut", "cre"),
                     email = "hps5320@psu.edu"),
            person("Garvesh", "Raskutti", role="aut",email="raskutti@stat.wisc.edu"))
Description: Efficient algorithm for solving PU (Positive and
        Unlabeled) problem in low or high dimensional setting with
        lasso or group lasso penalty. The algorithm uses
        Maximization-Minorization and (block) coordinate descent.
        Sparse calculation and parallel computing are supported for the
        computational speed-up. See Hyebin Song, Garvesh Raskutti
        (2018) <doi:10.48550/arXiv.1711.08129>.
License: GPL-2
Imports: Rcpp (>= 0.12.8), methods, Matrix, doParallel, foreach,
        ggplot2
Depends: R(>= 2.10)
LinkingTo: Rcpp, RcppEigen, Matrix
RoxygenNote: 7.3.2
Encoding: UTF-8
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://arxiv.org/abs/1711.08129
BugReports: https://github.com/hsong1/PUlasso/issues
Repository: https://hsong1.r-universe.dev
Date/Publication: 2026-02-22 02:52:20 UTC
RemoteUrl: https://github.com/hsong1/pulasso
RemoteRef: HEAD
RemoteSha: 2484d7652f1d4d4552ea55de9d0fb3a2f93b061c
NeedsCompilation: yes
Packaged: 2026-06-23 10:32:19 UTC; root
Author: Hyebin Song [aut, cre],
  Garvesh Raskutti [aut]
Maintainer: Hyebin Song <hps5320@psu.edu>