metabup
Bayesian Meta-Analysis Using Basic Uncertain Pooling
Contains functions that allow Bayesian meta-analysis (1) with binomial data, counts(y) and total counts (n) or, (2) with user-supplied point estimates and associated variances. Case (1) provides an analysis based on the logit transformation of the sample proportion. This methodology is also appropriate for combining data from sample surveys and related sources. The functions can calculate the corresponding similarity matrix. More details can be found in Cahoy and Sedransk (2023), Cahoy and Sedransk (2022) doi:10.1007/s42519-018-0027-2, Evans and Sedransk (2001) doi:10.1093/biomet/88.3.643, and Malec and Sedransk (1992) doi:10.1093/biomet/79.3.593.
- Version0.1.3
- R version≥ 2.10
- LicenseGPL (≥ 3)
- Needs compilation?No
- Cahoy and Sedransk (2023)
- Cahoy and Sedransk (2022)
- Evans and Sedransk (2001)
- Malec and Sedransk (1992)
- Last release10/17/2022
Documentation
Team
Dexter Cahoy
Joseph Sedransk
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Insights
Last 30 days
This package has been downloaded 208 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 23 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 2,448 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 26 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
- Imports2 packages