Package: glmxdiag 1.0.0

glmxdiag: A Collection of Graphic Tools for GLM Diagnostics and some Extensions

Provides diagnostic graphic tools for GLMs, beta-binomial regression model (estimated by 'VGAM' package), beta regression model (estimated by 'betareg' package) and negative binomial regression model (estimated by 'MASS' package). Since most of functions implemented in 'glmxdiag' already exist in other packages, the aim is to provide the user unique functions that work on almost all regression models previously specified. Details about some of the implemented functions can be found in Brown (1992) <doi:10.2307/2347617>, Dunn and Smyth (1996) <doi:10.2307/1390802>, O'Hara Hines and Carter (1993) <doi:10.2307/2347405>, Wang (1985) <doi:10.2307/1269708>.

Authors:Giuseppe Reale [aut, cre]

glmxdiag_1.0.0.tar.gz
glmxdiag_1.0.0.zip(r-4.5)glmxdiag_1.0.0.zip(r-4.4)glmxdiag_1.0.0.zip(r-4.3)
glmxdiag_1.0.0.tgz(r-4.4-any)glmxdiag_1.0.0.tgz(r-4.3-any)
glmxdiag_1.0.0.tar.gz(r-4.5-noble)glmxdiag_1.0.0.tar.gz(r-4.4-noble)
glmxdiag_1.0.0.tgz(r-4.4-emscripten)glmxdiag_1.0.0.tgz(r-4.3-emscripten)
glmxdiag.pdf |glmxdiag.html
glmxdiag/json (API)

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

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 139 downloads 11 exports 1 dependencies

Last updated 3 years agofrom:7f27397c6b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:avplotcookDistdevAnalysisDFbetafunCompinfluenceDiagleveragelinkLinQresidualsvarCheckvariableOut

Dependencies:VGAM