Package: abess
Type: Package
Title: Fast Best Subset Selection
Version: 0.4.11
Date: 2025-12-07
Authors@R: c(
  person(given = "Jin", family = "Zhu", email = "zhuj1jqx@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8550-5822")),
  person(given = "Zezhi", family = "Wang", email = "homura@mail.ustc.edu.cn", role = c("aut")),
  person(given = "Liyuan", family = "Hu", email = "huly5@mail2.sysu.edu.cn", role = c("aut")),
  person(given = "Junhao", family = "Huang", email = "huangjh256@mail2.sysu.edu.cn", role = c("aut")),
  person(given = "Kangkang", family = "Jiang", email = "jiangkk3@mail2.sysu.edu.cn", role = c("aut")),
  person(given = "Yanhang", family = "Zhang", email = "zhangyh98@ruc.edu.cn", role = c("aut")),
  person(given = "Borui", family = "Tang", email = "tangborui@mail.ustc.edu.cn", role = c("aut")),
  person(given = "Shiyun", family = "Lin", email = "shiyunlin@stu.pku.edu.cn", role = c("aut")),
  person(given = "Junxian", family = "Zhu", email = "adaizjx@163.com", role = c("aut")),
  person(given = "Canhong", family = "Wen", email = "wencanhong@gmail.com", role = c("aut")),
  person(given = "Heping", family = "Zhang", email = "heping.zhang@yale.edu", role = c("aut"), comment = c(ORCID = "0000-0002-0688-4076")),
  person(given = "Xueqin", family = "Wang", email = "wangxq20@ustc.edu.cn", role = c("aut"), comment = c(ORCID = "0000-0001-5205-9950")), 
  person("spectra contributors", role = c("cph"), comment = "Spectra implementation")
  )
Maintainer: Jin Zhu <zhuj1jqx@gmail.com>
Description: Extremely efficient toolkit for solving the best subset
        selection problem
        <https://www.jmlr.org/papers/v23/21-1060.html>. This package is
        its R interface. The package implements and generalizes
        algorithms designed in <doi:10.1073/pnas.2014241117> that
        exploits a novel sequencing-and-splicing technique to guarantee
        exact support recovery and globally optimal solution in
        polynomial times for linear model. It also supports best subset
        selection for logistic regression, Poisson regression, Cox
        proportional hazard model, Gamma regression, multiple-response
        regression, multinomial logistic regression, ordinal
        regression, Ising model reconstruction
        <doi:10.1080/01621459.2025.2571245>, (sequential) principal
        component analysis, and robust principal component analysis.
        The other valuable features such as the best subset of group
        selection <doi:10.1287/ijoc.2022.1241> and sure independence
        screening <doi:10.1111/j.1467-9868.2008.00674.x> are also
        provided.
License: GPL (>= 3) | file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
Imports: Rcpp, MASS, methods, Matrix, igraph
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 7.3.3
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/abess-team/abess,
        https://abess-team.github.io/abess/,
        https://abess.readthedocs.io
BugReports: https://github.com/abess-team/abess/issues
NeedsCompilation: yes
Packaged: 2026-10-04 08:20:46 UTC; root
Author: Jin Zhu [aut, cre] (ORCID:
        <https://orcid.org/0000-0001-8550-5822>), Zezhi Wang [aut],
        Liyuan Hu [aut], Junhao Huang [aut], Kangkang Jiang [aut],
        Yanhang Zhang [aut], Borui Tang [aut], Shiyun Lin [aut],
        Junxian Zhu [aut], Canhong Wen [aut], Heping Zhang [aut]
        (ORCID: <https://orcid.org/0000-0002-0688-4076>), Xueqin Wang
        [aut] (ORCID: <https://orcid.org/0000-0001-5205-9950>), spectra
        contributors [cph] (Spectra implementation)
Config/pak/sysreqs: libglpk-dev libxml2-dev
Repository: https://mamba413.r-universe.dev
Date/Publication: 2025-12-08 09:50:15 UTC
RemoteUrl: https://github.com/cran/abess
RemoteRef: HEAD
RemoteSha: d36650f596833be2a09f8142ef3bec510d5599fc