Package: extremis 1.21

extremis: Statistics of Extremes

Conducts inference in statistical models for extreme values (de Carvalho et al (2012), <doi:10.1080/03610926.2012.709905>; de Carvalho and Davison (2014), <doi:10.1080/01621459.2013.872651>; Einmahl et al (2016), <doi:10.1111/rssb.12099>).

Authors:Miguel de Carvalho [aut, cre], Rodrigo Rubio [aut], Vianey Palacios [aut], Alejandro Jara [ctb], Tim Hanson [ctb]

extremis_1.21.tar.gz
extremis_1.21.zip(r-4.5)extremis_1.21.zip(r-4.4)extremis_1.21.zip(r-4.3)
extremis_1.21.tgz(r-4.4-x86_64)extremis_1.21.tgz(r-4.4-arm64)extremis_1.21.tgz(r-4.3-x86_64)extremis_1.21.tgz(r-4.3-arm64)
extremis_1.21.tar.gz(r-4.5-noble)extremis_1.21.tar.gz(r-4.4-noble)
extremis_1.21.tgz(r-4.4-emscripten)extremis_1.21.tgz(r-4.3-emscripten)
extremis.pdf |extremis.html
extremis/json (API)

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

Peer review:

Bug tracker:https://github.com/extremestats/extremis/issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • beatenberg - Beatenberg
  • lse - Selected Stocks from the London Stock Exchange
  • sp500 - Standard & Poor 500

On CRAN:

2.00 score 9 scripts 331 downloads 20 exports 9 dependencies

Last updated 3 years agofrom:4bd73de7d4. Checks:OK: 4 WARNING: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-win-x86_64WARNINGNov 18 2024
R-4.5-linux-x86_64WARNINGNov 18 2024
R-4.4-win-x86_64WARNINGNov 18 2024
R-4.4-mac-x86_64WARNINGNov 18 2024
R-4.4-mac-aarch64WARNINGNov 18 2024
R-4.3-win-x86_64OKNov 18 2024
R-4.3-mac-x86_64OKNov 18 2024
R-4.3-mac-aarch64OKNov 18 2024

Exports:angcdfangcdf.defaultangdensityangdensity.defaultangscdfangscdf.defaultcdensitycdensity.defaultcdfcdf.defaultcmodescmodes.defaultcPTdensitycPTdensity.defaultkgvarkgvar.defaultkhetmeanskhetmeans.defaultplotFrechetplotFrechet.default

Dependencies:emplikevdlatticeMASSMatrixMatrixModelsquantregSparseMsurvival