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.
- Version1.0.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- evgam citation info
- Last release06/28/2022
Documentation
Team
Ben Youngman
Insights
Last 30 days
This package has been downloaded 1,578 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 49 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 52,611 times in the last 365 days. The kind of number that gets mentioned in a keynote speech. Well done! The day with the most downloads was Feb 24, 2025 with 903 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages
- Linking To2 packages
- Reverse Imports2 packages