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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: | 0.1 |
Depends: | EnvStats, DEoptim, stats, MASS |
Published: | 2024-03-14 |
DOI: | 10.32614/CRAN.package.bgev |
Author: | Cira Otiniano Author [aut], Yasmin Lirio Author [aut], Thiago Sousa Developer [cre] |
Maintainer: | Thiago Sousa Developer <thiagoestatistico at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
In views: | Distributions |
CRAN checks: | bgev results |
Reference manual: | bgev.pdf |
Package source: | bgev_0.1.tar.gz |
Windows binaries: | r-devel: bgev_0.1.zip, r-release: bgev_0.1.zip, r-oldrel: bgev_0.1.zip |
macOS binaries: | r-release (arm64): bgev_0.1.tgz, r-oldrel (arm64): bgev_0.1.tgz, r-release (x86_64): bgev_0.1.tgz, r-oldrel (x86_64): bgev_0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.