Package: bgev 0.1
bgev: Bimodal GEV Distribution with Location Parameter
Density, distribution function, quantile function random generation and estimation of bimodal GEV distribution given in Otiniano et al. (2023) <doi:10.1007/s10651-023-00566-7>. This new generalization of the well-known GEV (Generalized Extreme Value) distribution is useful for modeling heterogeneous bimodal data from different areas.
Authors:
bgev_0.1.tar.gz
bgev_0.1.zip(r-4.5)bgev_0.1.zip(r-4.4)bgev_0.1.zip(r-4.3)
bgev_0.1.tgz(r-4.4-any)bgev_0.1.tgz(r-4.3-any)
bgev_0.1.tar.gz(r-4.5-noble)bgev_0.1.tar.gz(r-4.4-noble)
bgev_0.1.tgz(r-4.4-emscripten)bgev_0.1.tgz(r-4.3-emscripten)
bgev.pdf |bgev.html✨
bgev/json (API)
| # Install 'bgev' in R: |
| install.packages('bgev', repos = c('https://thiagopod17.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 6 months agofrom:082259d07e. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 12 2024 |
| R-4.5-win | OK | Sep 12 2024 |
| R-4.5-linux | OK | Sep 12 2024 |
| R-4.4-win | OK | Sep 12 2024 |
| R-4.4-mac | OK | Sep 12 2024 |
| R-4.3-win | OK | Sep 12 2024 |
| R-4.3-mac | OK | Sep 12 2024 |
Exports:bgev.mlebgev.supportdbgevdistChecklikbgevpbgevqbgevrbgev
Dependencies:clicolorspaceDEoptimEnvStatsfansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmenortestpillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bimodal GEV Distribution with Location Parameter | bgev-package bgev dbgev pbgev qbgev rbgev |
| Parameter estimation of bimodal GEV distribution based on real data that appears to be bimodal. | bgev.mle |
| Support of the bimodal GEV distribution | bgev.support |
| Check implementation of a distribution in R. | distCheck |
| Log likelihood function for the bimodal GEV distribution. | likbgev |
