spStack

Bayesian Geostatistics Using Predictive Stacking

CRAN Package

Fits Bayesian hierarchical spatial process models for point-referenced Gaussian, Poisson, binomial, and binary data using stacking of predictive densities. It involves sampling from analytically available posterior distributions conditional upon some candidate values of the spatial process parameters and, subsequently assimilate inference from these individual posterior distributions using Bayesian predictive stacking. Our algorithm is highly parallelizable and hence, much faster than traditional Markov chain Monte Carlo algorithms while delivering competitive predictive performance. See Zhang, Tang, and Banerjee (2024) doi:10.48550/arXiv.2304.12414, and, Pan, Zhang, Bradley, and Banerjee (2024) doi:10.48550/arXiv.2406.04655 for details.

  • Version1.0.1
  • R versionunknown
  • LicenseGPL-3
  • Needs compilation?Yes
  • Languageen-US
  • Last release10/08/2024

Documentation


Team


Insights

Last 30 days

This package has been downloaded 142 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 7 times.

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0 downloadsMar 2, 2025
3 downloadsMar 3, 2025
3 downloadsMar 4, 2025
11 downloadsMar 5, 2025
3 downloadsMar 6, 2025
9 downloadsMar 7, 2025
1 downloadsMar 8, 2025
1 downloadsMar 9, 2025
2 downloadsMar 10, 2025
7 downloadsMar 11, 2025
4 downloadsMar 12, 2025
4 downloadsMar 13, 2025
5 downloadsMar 14, 2025
6 downloadsMar 15, 2025
3 downloadsMar 16, 2025
1 downloadsMar 17, 2025
10 downloadsMar 18, 2025
2 downloadsMar 19, 2025
8 downloadsMar 20, 2025
9 downloadsMar 21, 2025
2 downloadsMar 22, 2025
4 downloadsMar 23, 2025
4 downloadsMar 24, 2025
6 downloadsMar 25, 2025
6 downloadsMar 26, 2025
5 downloadsMar 27, 2025
4 downloadsMar 28, 2025
1 downloadsMar 29, 2025
9 downloadsMar 30, 2025
2 downloadsMar 31, 2025
7 downloadsApr 1, 2025
0 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
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11

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 1,124 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Oct 05, 2024 with 41 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

  • Imports6 packages
  • Suggests5 packages