SIS: An R Package for Sure Independence Screening in Ultrahigh-Dimensional Statistical Models

We revisit sure independence screening procedures for variable selection in generalized linear models and the Cox proportional hazards model. Through the publicly available R package SIS, we provide a unified environment to carry out variable selection using iterative sure independence screening (IS...

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Bibliographic Details
Main Authors: Diego Franco Saldana, Yang Feng
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2018-02-01
Series:Journal of Statistical Software
Subjects:
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/3378

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