spNNGP
Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes
Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Banerjee (2022) doi:10.18637/jss.v103.i05, Finley, Datta, Cook, Morton, Andersen, and Banerjee (2019) doi:10.1080/10618600.2018.1537924, and Datta, Banerjee, Finley, and Gelfand (2016) doi:10.1080/01621459.2015.1044091.
- Version1.0.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/23/2024
Team
Andrew Finley
Abhirup Datta
Show author detailsRolesAuthorSudipto Banerjee
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 278 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 9 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 4,030 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 26, 2024 with 81 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
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Dependencies
- Depends3 packages