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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>.
| Version: | 0.1.3 |
| Depends: | R (≥ 2.10) |
| Imports: | stats, ggplot2, partitions |
| Published: | 2022-10-17 |
| Author: | Dexter Cahoy [aut, cre], Joseph Sedransk [aut] |
| Maintainer: | Dexter Cahoy <dexter.cahoy at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| In views: | MetaAnalysis |
| CRAN checks: | metabup results |
| Reference manual: | metabup.pdf |
| Package source: | metabup_0.1.3.tar.gz |
| Windows binaries: | r-devel: metabup_0.1.3.zip, r-release: metabup_0.1.3.zip, r-oldrel: metabup_0.1.3.zip |
| macOS binaries: | r-release (arm64): metabup_0.1.3.tgz, r-oldrel (arm64): metabup_0.1.3.tgz, r-release (x86_64): metabup_0.1.3.tgz, r-oldrel (x86_64): metabup_0.1.3.tgz |
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These binaries (installable software) and packages are in development.
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