Package: SIS
Version: 1.5
Date: 2026-03-13
Title: Sure Independence Screening
Authors@R: c(person("Yang", "Feng", email = "yangfengstat@gmail.com",
  role = c("aut", "cre")),
  person("Jianqing", "Fan", 
  email = "jqfan@princeton.edu",
  role = c("aut")),
  person("Diego", "Franco Saldana", 
  email = "diegofrasal@gmail.com",
  role = c("aut")),
  person("Yichao", "Wu", 
  email = "yichaowu@uic.edu",
  role = c("aut")),
  person("Richard", "Samworth", 
  email = "rjs57@hermes.cam.ac.uk",
  role = c("aut")),
  person("Arce", "Domingo Relloso", 
  email = "ad3531@cumc.columbia.edu",
  role = c("aut")))
Depends: R (>= 3.2.4)
Imports: glmnet, ncvreg, survival, nnet, doParallel, gcdnet, msaenet,
        foreach, methods
LinkingTo: Rcpp, RcppEigen
Description: Variable selection techniques are essential tools for model
    selection and estimation in high-dimensional statistical models. Through this
    publicly available package, we provide a unified environment to carry out
    variable selection using iterative sure independence screening (SIS) (Fan and Lv (2008)<doi:10.1111/j.1467-9868.2008.00674.x>) and all
    of its variants in generalized linear models (Fan and Song (2009)<doi:10.1214/10-AOS798>) and the Cox proportional hazards
    model (Fan, Feng and Wu (2010)<doi:10.1214/10-IMSCOLL606>).
License: GPL-2
RoxygenNote: 7.2.3
Encoding: UTF-8
Suggests: rmarkdown, knitr, formatR, pROC
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-03-14 04:00:26 UTC; yangfeng
Author: Yang Feng [aut, cre],
  Jianqing Fan [aut],
  Diego Franco Saldana [aut],
  Yichao Wu [aut],
  Richard Samworth [aut],
  Arce Domingo Relloso [aut]
Maintainer: Yang Feng <yangfengstat@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-14 06:10:36 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-03-28 20:35:28 UTC; windows
Archs: x64
