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metabup  

Bayesian Meta-Analysis Using Basic Uncertain Pooling
View on CRAN: Click here


Download and install metabup package within the R console
Install from CRAN:
install.packages("metabup")

Install from Github:
library("remotes")
install_github("cran/metabup")

Install by package version:
library("remotes")
install_version("metabup", "0.1.3")



Attach the package and use:
library("metabup")
Maintained by
Dexter Cahoy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-17
Latest Update: 2022-10-17
Description:
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) , Evans and Sedransk (2001) , and Malec and Sedransk (1992) .
How to cite:
Dexter Cahoy (2022). metabup: Bayesian Meta-Analysis Using Basic Uncertain Pooling. R package version 0.1.3, https://cran.r-project.org/web/packages/metabup. Accessed 30 Oct. 2026.
Previous versions and publish date:
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Complete documentation for metabup
Functions, R codes and Examples using the metabup R package
Some associated functions: metabup . 
Some associated R codes: metabup.R .  Full metabup package functions and examples
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