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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.1 rolling linux/jammy R-4.5 evgam_1.0.1.tar.gz 1005.1 KiB
1.0.1 rolling linux/noble R-4.5 evgam_1.0.1.tar.gz 1012.0 KiB
1.0.1 rolling source/ R- evgam_1.0.1.tar.gz 583.1 KiB
1.0.1 latest linux/jammy R-4.5 evgam_1.0.1.tar.gz 1005.1 KiB
1.0.1 latest linux/noble R-4.5 evgam_1.0.1.tar.gz 1012.0 KiB
1.0.1 latest source/ R- evgam_1.0.1.tar.gz 583.1 KiB
1.0.1 2026-04-26 source/ R- evgam_1.0.1.tar.gz 583.1 KiB
1.0.1 2026-04-23 source/ R- evgam_1.0.1.tar.gz 583.1 KiB
1.0.1 2026-04-09 windows/windows R-4.5 evgam_1.0.1.zip 1.2 MiB
1.0.0 2025-04-20 source/ R- evgam_1.0.0.tar.gz 582.3 KiB

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