Package: DBModelSelect 0.2.1

Scott H. Koeneman

DBModelSelect: Distribution-Based Model Selection

Perform model selection using distribution and probability-based methods, including standardized AIC, BIC, and AICc. These standardized information criteria allow one to perform model selection in a way similar to the prevalent "Rule of 2" method, but formalize the method to rely on probability theory. A novel goodness-of-fit procedure for assessing linear regression models is also available. This test relies on theoretical properties of the estimated error variance for a normal linear regression model, and employs a bootstrap procedure to assess the null hypothesis that the fitted model shows no lack of fit. For more information, see Koeneman and Cavanaugh (2023) <arxiv:2309.10614>. Functionality to perform all subsets linear or generalized linear regression is also available.

Authors:Scott H. Koeneman [aut, cre]

DBModelSelect_0.2.1.tar.gz
DBModelSelect_0.2.1.zip(r-4.5)DBModelSelect_0.2.1.zip(r-4.4)DBModelSelect_0.2.1.zip(r-4.3)
DBModelSelect_0.2.1.tgz(r-4.5-any)DBModelSelect_0.2.1.tgz(r-4.4-any)DBModelSelect_0.2.1.tgz(r-4.3-any)
DBModelSelect_0.2.1.tar.gz(r-4.5-noble)DBModelSelect_0.2.1.tar.gz(r-4.4-noble)
DBModelSelect_0.2.1.tgz(r-4.4-emscripten)DBModelSelect_0.2.1.tgz(r-4.3-emscripten)
DBModelSelect.pdf |DBModelSelect.html
DBModelSelect/json (API)
NEWS

# Install 'DBModelSelect' in R:
install.packages('DBModelSelect', repos = c('https://shkoeneman.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/shkoeneman/dbmodelselect/issues

On CRAN:

Conda:

2.70 score 2 scripts 214 downloads 5 exports 0 dependencies

Last updated 1 years agofrom:29e5d48ebd. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-winOKMar 09 2025
R-4.5-macOKMar 09 2025
R-4.5-linuxOKMar 09 2025
R-4.4-winOKMar 09 2025
R-4.4-macOKMar 09 2025
R-4.4-linuxOKMar 09 2025
R-4.3-winOKMar 09 2025
R-4.3-macOKMar 09 2025

Exports:AICcBootGOFTestLMFitGLMSubsetsFitLMSubsetsStandICModelSelect

Dependencies: