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