Package: bgeva 0.3-1

bgeva: Binary Generalized Extreme Value Additive Models

Routine for fitting regression models for binary rare events with linear and nonlinear covariate effects when using the quantile function of the Generalized Extreme Value random variable.

Authors:Giampiero Marra, Raffaella Calabrese and Silvia Angela Osmetti

bgeva_0.3-1.tar.gz
bgeva_0.3-1.zip(r-4.5)bgeva_0.3-1.zip(r-4.4)bgeva_0.3-1.zip(r-4.3)
bgeva_0.3-1.tgz(r-4.4-any)bgeva_0.3-1.tgz(r-4.3-any)
bgeva_0.3-1.tar.gz(r-4.5-noble)bgeva_0.3-1.tar.gz(r-4.4-noble)
bgeva_0.3-1.tgz(r-4.4-emscripten)bgeva_0.3-1.tgz(r-4.3-emscripten)
bgeva.pdf |bgeva.html
bgeva/json (API)

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

Peer review:

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 5 scripts 207 downloads 10 exports 7 dependencies

Last updated 8 years agofrom:b4e7f835dd. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winOKNov 02 2024
R-4.5-linuxOKNov 02 2024
R-4.4-winOKNov 02 2024
R-4.4-macOKNov 02 2024
R-4.3-winOKNov 02 2024
R-4.3-macOKNov 02 2024

Exports:bg.checksbgevabgeva.gIMabgeva.gIMbplot.bgevaprint.bgevaprint.summary.bgevaS.msummary.bgevaworking.comp

Dependencies:abindlatticemagicMatrixmgcvnlmetrust