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SIS

Sure Independence Screening

v0.8-8 · Jan 27, 2020 · GPL-2

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>).

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Reverse Dependencies (10)

Dependency Network

Dependencies Reverse dependencies glmnet ncvreg survival RsqMed SILM crossurr gfiUltra hySAINT misspi multiModTest SuperLearner quadVAR subsemble SIS

Version History

new 0.8-8 Mar 9, 2026