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OPTS  

Optimization via Subsampling (OPTS)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("OPTS", "0.1")



Attach the package and use:
library("OPTS")
Maintained by
Mihai Giurcanu
[Scholar Profile | Author Map]
First Published: 2022-05-25
Latest Update: 2022-05-25
Description:
Subsampling based variable selection for low dimensional generalized linear models. The methods repeatedly subsample the data minimizing an information criterion (AIC/BIC) over a sequence of nested models for each subsample. Marinela Capanu, Mihai Giurcanu, Colin B Begg, Mithat Gonen, Subsampling based variable selection for generalized linear models.
How to cite:
Mihai Giurcanu (2022). OPTS: Optimization via Subsampling (OPTS). R package version 0.1, https://cran.r-project.org/web/packages/OPTS. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited OPTS R package
View OPTS citation profile
Other R packages that OPTS depends, imports, suggests or enhances
Complete documentation for OPTS
Functions, R codes and Examples using the OPTS R package
Some associated functions: opts . opts_th . 
Some associated R codes: OPTS.R .  Full OPTS package functions and examples
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