Package: bgev 0.3

bgev: Bimodal GEV Distribution with Location Parameter

Description: 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:Cira Otiniano Author [aut], Yasmin Lirio Author [aut], Thiago Sousa Developer [cre]

bgev_0.3.tar.gz
bgev_0.3.zip(r-4.7)bgev_0.3.zip(r-4.6)bgev_0.3.zip(r-4.5)
bgev_0.3.tgz(r-4.6-any)bgev_0.3.tgz(r-4.5-any)
bgev_0.3.tar.gz(r-4.7-any)bgev_0.3.tar.gz(r-4.6-any)
bgev_0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bgev/json (API)

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

Bug tracker:https://github.com/thiagodoregosousa/gevstablegarch/issues

On CRAN:

Conda:

3.40 score 1 scripts 236 downloads 9 exports 34 dependencies

Last updated from:4977971940. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR112
source / vignettesOK176
linux-release-x86_64ERROR112
macos-release-arm64ERROR109
macos-oldrel-arm64ERROR145
windows-develERROR84
windows-releaseERROR74
windows-oldrelERROR95
wasm-releaseOK87

Exports:bgev_log_likelihoodbgev_mlebgev_supportbgev_valid_paramsdbgevdistCheckpbgevqbgevrbgev

Dependencies:clicodetoolscpp11DEoptimdigestEnvStatsfarverfuturefuture.applyggplot2globalsgluegtableisobandlabelinglifecyclelistenvMASSnortestnumDerivparallellyR6RColorBrewerRcppRcppArmadillorlangRsolnpS7scalesskewttruncnormvctrsviridisLitewithr