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ProMetaR  

Meta-Analysis of Proportions and Prevalence
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ProMetaR", "1.0.0")



Attach the package and use:
library("ProMetaR")
Maintained by
Vinodhkumar Obli Rajendran
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-12
Latest Update: 2026-09-12
Description:
Tools for meta-analysis of proportions and prevalence from studies reporting event counts and sample sizes. Provides transformed and untransformed inverse-variance models, random-effects estimation, heterogeneity statistics, prediction intervals, subgroup analysis, meta-regression, leave-one-out sensitivity analysis, influence diagnostics, forest plots, funnel plots, and an optional binomial generalized linear mixed model interface. The package is designed for epidemiological, veterinary, medical, and One Health applications, including antimicrobial resistance prevalence studies.
How to cite:
Vinodhkumar Obli Rajendran (2026). ProMetaR: Meta-Analysis of Proportions and Prevalence. R package version 1.0.0, https://cran.r-project.org/web/packages/ProMetaR. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited ProMetaR R package
View ProMetaR citation profile
Other R packages that ProMetaR depends, imports, suggests or enhances
Complete documentation for ProMetaR
Functions, R codes and Examples using the ProMetaR R package
Full ProMetaR package functions and examples
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