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-4.7-any)bgeva_0.3-1.zip(r-4.6-any)bgeva_0.3-1.zip(r-4.5-any)
bgeva_0.3-1.tgz(r-4.6-any)bgeva_0.3-1.tgz(r-4.5-any)
bgeva_0.3-1.tar.gz(r-4.7-any)bgeva_0.3-1.tar.gz(r-4.6-any)
bgeva_0.3-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
bgeva/json (API)

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

On CRAN:

Conda:

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

1.00 score 7 scripts 349 downloads 10 exports 7 dependencies

Last updated from:b4e7f835dd. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK128
source / vignettesOK238
linux-releaseOK119
macos-releaseOK171
macos-oldrelOK149
windows-develOK81
windows-releaseOK73
windows-oldrelOK81
wasm-releaseOK96

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

Dependencies:abindlatticemagicMatrixmgcvnlmetrust