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STOPES (version 0.2)

Selection Threshold Optimized Empirically via Splitting

Description

Implements variable selection procedures for low to moderate size generalized linear regressions models. It includes the STOPES functions for linear regression (Capanu M, Giurcanu M, Begg C, Gonen M, Optimized variable selection via repeated data splitting, Statistics in Medicine, 2020, 19(6):2167-2184) as well as subsampling based optimization methods for generalized linear regression models (Marinela Capanu, Mihai Giurcanu, Colin B Begg, Mithat Gonen, Subsampling based variable selection for generalized linear models).

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Version

Install

install.packages('STOPES')

Monthly Downloads

115

Version

0.2

License

GPL-2

Maintainer

Marinela Capanu

Last Published

May 27th, 2022

Functions in STOPES (0.2)

stopes

Selection of Threshold OPtimized Empirically via Splitting (STOPES)
opts_th

Threshold OPTimization via Subsampling (OPTS_TH)
opts

Optimization via Subsampling (OPTS)
alasso.cv

ALASSO variable selection via cross-validation regularization parameter selection