ramps
Bayesian Geostatistical Modeling with RAMPS
Bayesian geostatistical modeling of Gaussian processes using a reparameterized and marginalized posterior sampling (RAMPS) algorithm designed to lower autocorrelation in MCMC samples. Package performance is tuned for large spatial datasets.
- Version0.6.18
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- ramps citation info
- Last release03/13/2023
Documentation
Team
Brian J Smith
Jun Yan
Mary Kathryn Cowles
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Insights
Last 30 days
This package has been downloaded 357 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! 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 5,224 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Jul 21, 2024 with 160 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
- Depends4 packages
- Imports1 package