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>.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.3), mgcv
LinkingTo: Rcpp, RcppArmadillo
Suggests: maps
Published: 2020-04-19
Author: Ben Youngman
Maintainer: Ben Youngman <b.youngman at exeter.ac.uk>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: evgam results

Downloads:

Reference manual: evgam.pdf
Package source: evgam_0.1.2.tar.gz
Windows binaries: r-prerelease: evgam_0.1.2.zip, r-release: evgam_0.1.2.zip, r-oldrel: evgam_0.1.2.zip
macOS binaries: r-prerelease: evgam_0.1.1.tgz, r-release: evgam_0.1.2.tgz, r-oldrel: evgam_0.1.1.tgz
Old sources: evgam archive

Reverse dependencies:

Reverse imports: ppgam

Linking:

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