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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 |
| 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 |
| Reference manual: | evgam.pdf |
| 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 imports: | ftsa, ppgam |
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These binaries (installable software) and packages are in development.
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