Package: evgam 1.0.1

evgam: Generalised Additive Extreme Value Models

Methods for fitting various extreme value distributions with parameters of generalised additive model (GAM) form are provided. For details of distributions see Coles, S.G. (2001) <doi:10.1007/978-1-4471-3675-0>, GAMs see Wood, S.N. (2017) <doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>. Details of how evgam works and various examples are given in Youngman, B.D. (2022) <doi:10.18637/jss.v103.i03>.

Authors:Ben Youngman

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evgam.pdf |evgam.html
evgam/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/byoungman/evgam/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • COelev - Colorado daily precipitation accumulations
  • COprcp - Colorado daily precipitation accumulations
  • COprcp_meta - Colorado daily precipitation accumulations
  • FCtmax - Fort Collins, Colorado, US daily max. temperatures
  • fremantle - Annual Maximum Sea Levels at Fremantle, Western Australia

On CRAN:

6.99 score 4 stars 11 packages 82 scripts 1.5k downloads 18 exports 6 dependencies

Last updated 4 days agofrom:5c36e7d310. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-win-x86_64WARNINGNov 19 2024
R-4.5-linux-x86_64WARNINGNov 19 2024
R-4.4-win-x86_64WARNINGNov 19 2024
R-4.4-mac-x86_64WARNINGNov 19 2024
R-4.4-mac-aarch64WARNINGNov 19 2024
R-4.3-win-x86_64WARNINGNov 19 2024
R-4.3-mac-x86_64WARNINGNov 19 2024
R-4.3-mac-aarch64WARNINGNov 19 2024

Exports:bgev2gevcolplotdbgevdf2matdfdfbinddfrunmaxevgamextremalfevgamgev2bgevginv.evgampbgevpinvqbgevqevrbgevrunmaxseq_between

Dependencies:latticeMatrixmgcvnlmeRcppRcppArmadillo