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STOPES  

Selection Threshold Optimized Empirically via Splitting
View on CRAN: Click here


Download and install STOPES package within the R console
Install from CRAN:
install.packages("STOPES")

Install from Github:
library("remotes")
install_github("cran/STOPES")

Install by package version:
library("remotes")
install_version("STOPES", "0.2")



Attach the package and use:
library("STOPES")
Maintained by
Marinela Capanu
[Scholar Profile | Author Map]
First Published: 2019-06-14
Latest Update: 2022-05-27
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).
How to cite:
Marinela Capanu (2019). STOPES: Selection Threshold Optimized Empirically via Splitting. R package version 0.2, https://cran.r-project.org/web/packages/STOPES. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1 (2019-06-14 10:10)
Other packages that cited STOPES R package
View STOPES citation profile
Other R packages that STOPES depends, imports, suggests or enhances
Complete documentation for STOPES
Functions, R codes and Examples using the STOPES R package
Some associated functions: allaso.cv . opts . opts_th . stopes . 
Some associated R codes: STOPES.R .  Full STOPES package functions and examples
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