Sure Independence Screening R package SIS version 1.5 CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning) 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>). Software Depends: R (>= 3.2.4) Imports: glmnet, ncvreg, survival, nnet, doParallel, gcdnet, msaenet, foreach, methods LinkingTo: Rcpp, RcppEigen Suggests: rmarkdown, knitr, formatR, pROC Yang Feng <yangfengstat@gmail.com> Comprehensive R Archive Network (CRAN) Yang Feng [aut, cre], Jianqing Fan [aut], Diego Franco Saldana [aut], Yichao Wu [aut], Richard Samworth [aut], Arce Domingo Relloso [aut] GPL-2 2026-03-14 application/tgz https://CRAN.R-project.org/package=SIS doi:10.32614/CRAN.package.SIS