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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>.

Version:1.0.1
Depends:R (≥ 3.5.0)
Imports:Rcpp (≥ 1.1.0),mgcv
LinkingTo:Rcpp,RcppArmadillo
Published:2025-09-23
DOI:10.32614/CRAN.package.evgam
Author:Ben YoungmanORCID iD [aut, cre]
Maintainer:Ben Youngman <b.youngman at exeter.ac.uk>
License:GPL-3
NeedsCompilation:yes
Citation:evgam citation info
Materials:NEWS
In views:ExtremeValue
CRAN checks:evgam results

Documentation:

Reference manual:evgam.html ,evgam.pdf

Downloads:

Package source: evgam_1.0.1.tar.gz
Windows binaries: r-devel:evgam_1.0.1.zip, r-release:evgam_1.0.1.zip, r-oldrel:evgam_1.0.1.zip
macOS binaries: r-release (arm64):evgam_1.0.1.tgz, r-oldrel (arm64):evgam_1.0.1.tgz, r-release (x86_64):evgam_1.0.1.tgz, r-oldrel (x86_64):evgam_1.0.1.tgz
Old sources: evgam archive

Reverse dependencies:

Reverse imports:ftsa,ppgam

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=evgamto link to this page.


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