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:
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-4.5-any)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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:b4e7f835dd. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Apr 01 2025 |
| R-4.5-win | OK | Apr 01 2025 |
| R-4.5-mac | OK | Apr 01 2025 |
| R-4.5-linux | OK | Apr 01 2025 |
| R-4.4-win | OK | Apr 01 2025 |
| R-4.4-mac | OK | Apr 01 2025 |
| R-4.4-linux | OK | Apr 01 2025 |
| R-4.3-win | OK | Apr 01 2025 |
| R-4.3-mac | OK | Apr 01 2025 |
Exports:bg.checksbgevabgeva.gIMabgeva.gIMbplot.bgevaprint.bgevaprint.summary.bgevaS.msummary.bgevaworking.comp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Binary Generalized Extreme Value Additive Modelling | bgeva-package |
| Some convergence diagnostics | bg.checks |
| Binary Generalized Extreme Value Additive Modelling | bgeva |
| Internal Function | bgeva.gIMa |
| Internal Function | bgeva.gIMb |
| Fitted bgeva object | bgevaObject |
| bgeva plotting | plot.bgeva |
| Print a bgeva object | print.bgeva |
| Print a summary.bgeva object | print.summary.bgeva |
| Internal Function | S.m |
| bgeva summary | summary.bgeva |
| Internal Function | working.comp |
