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.
| Version: |
0.3 |
| Depends: |
R (≥ 2.15.0) |
| Imports: |
EnvStats, stats, MASS, nleqslv, graphics, numDeriv |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2026-10-09 |
| DOI: |
10.32614/CRAN.package.bgev |
| Author: |
Thiago do Rego Sousa [aut, cre],
Yasmin Lirio [aut],
Cira Etheowalda Guevara Otiniano [aut] |
| Maintainer: |
Thiago do Rego Sousa <thiagodoregosousa at gmail.com> |
| BugReports: |
https://github.com/thiagodoregosousa/bgev/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://thiagodoregosousa.github.io/bgev/,
https://github.com/thiagodoregosousa/bgev |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| In views: |
Distributions |
| CRAN checks: |
bgev results |
Documentation:
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