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) and all of its variants in generalized linear models and the Cox proportional hazards model.
|Author||Jianqing Fan, Yang Feng, Diego Franco Saldana, Richard Samworth, Yichao Wu|
|Date of publication||2017-04-21 18:48:10 UTC|
|Maintainer||Yang Feng <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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