deform
Spatial Deformation and Dimension Expansion Gaussian Processes
Methods for fitting nonstationary Gaussian process models by spatial deformation, as introduced by Sampson and Guttorp (1992) doi:10.1080/01621459.1992.10475181, and by dimension expansion, as introduced by Bornn et al. (2012) doi:10.1080/01621459.2011.646919. Low-rank thin-plate regression splines, as developed in Wood, S.N. (2003) doi:10.1111/1467-9868.00374, are used to either transform co-ordinates or create new latent dimensions.
- Version1.0.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release10/19/2023
Team
Ben Youngman
Insights
Last 30 days
This package has been downloaded 163 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 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 1,979 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 18 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.
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Dependencies
- Imports2 packages
- Suggests2 packages
- Linking To2 packages