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bestglm  

Best Subset GLM and Regression Utilities
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bestglm", "0.37.3")



Attach the package and use:
library("bestglm")
Maintained by
Yuanhao Lai
[Scholar Profile | Author Map]
First Published: 2009-08-27
Latest Update: 2020-03-13
Description:
Best subset glm using information criteria or cross-validation, carried by using 'leaps' algorithm (Furnival and Wilson, 1974) or complete enumeration (Morgan and Tatar, 1972) . Implements PCR and PLS using AIC/BIC. Implements one-standard deviation rule for use with the 'caret' package.
How to cite:
Yuanhao Lai (2009). bestglm: Best Subset GLM and Regression Utilities. R package version 0.37.3, https://cran.r-project.org/web/packages/bestglm. Accessed 10 Jan. 2025.
Previous versions and publish date:
0.10 (2009-08-27 09:37), 0.13 (2009-09-10 11:52), 0.14 (2009-10-19 21:43), 0.20 (2009-11-01 18:33), 0.30 (2010-08-29 09:12), 0.31 (2010-12-02 13:50), 0.33 (2011-11-03 22:30), 0.34 (2014-03-03 01:02), 0.35 (2017-02-06 10:16), 0.36 (2017-02-23 23:44), 0.37.1 (2019-11-12 09:14), 0.37 (2018-05-27 23:03)
Other packages that cited bestglm R package
View bestglm citation profile
Other R packages that bestglm depends, imports, suggests or enhances
Complete documentation for bestglm
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