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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: 1.0.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.8.3), mgcv
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-06-28
DOI: 10.32614/CRAN.package.evgam
Author: Ben Youngman
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.pdf

Downloads:

Package source: evgam_1.0.0.tar.gz
Windows binaries: r-devel: evgam_1.0.0.zip, r-release: evgam_1.0.0.zip, r-oldrel: evgam_1.0.0.zip
macOS binaries: r-release (arm64): evgam_1.0.0.tgz, r-oldrel (arm64): evgam_1.0.0.tgz, r-release (x86_64): evgam_1.0.0.tgz, r-oldrel (x86_64): evgam_1.0.0.tgz
Old sources: evgam archive

Reverse dependencies:

Reverse imports: ftsa, ppgam

Linking:

Please use the canonical form https://CRAN.R-project.org/package=evgam to link to this page.

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.
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