geoBayes
Analysis of Geostatistical Data using Bayes and Empirical Bayes Methods
Functions to fit geostatistical data. The data can be continuous, binary or count data and the models implemented are flexible. Conjugate priors are assumed on some parameters while inference on the other parameters can be done through a full Bayesian analysis of by empirical Bayes methods.
- Version0.7.4
- R version≥ 3.0.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release10/07/2024
Documentation
Team
Evangelos Evangelou
Vivekananda Roy
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Insights
Last 30 days
This package has been downloaded 399 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 3 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 4,777 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 Sep 11, 2024 with 57 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
- Imports3 packages