metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface

metapack is an R package that provides a unified formula interface for both meta-analysis and network meta-analysis. The user interface—and therefore the package—allows flexible variance-covariance modeling for multivariate meta-analysis models and univariate network meta-analysis models.

Dr. Kim Receives 2023 SPAIG Award

The Statistical Partnerships Among Academe, Industry & Government was awarded to NCI, UNC, and Merk.

This R package, metapack, introduces a unified formula interface for both meta-analysis and network meta-analysis. The user interface—and therefore the package—allows flexible variance-covariance modeling for multivariate meta-analysis models and univariate network meta-analysis models. Complicated computing for these models has prevented their widespread adoption. The package also provides functions to generate relevant plots and perform statistical inferences like model assessments. Use cases are demonstrated using two real data sets.

The methods were developed in collaboration with the University of North Carolina, Chapel Hill, University of Connecticut, Merck, and the NCI to improve efficiency of drug development through better trial designs, operations, and results so that safe and effective medicines reach more people faster. 

metapack R package

Questions? Contact Sung Duk Kim

Lim D et al. metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface (r-project.org). The R Journal 2022.