Rank-Clustered Estimation for Network Meta-Analysis

An implementation of the RaCE-NMA (Rank-Clustered Estimation for Network Meta-Analysis) model for post-hoc clustering of treatments or interventions by rank in network meta-analysis data. Functions for model estimation, assessment, and displaying results are provided. For more details, see Pearce and Zhou (2025) .

RaCE.NMA

The RaCE.NMA R package implements the the Rank-Clustering Estimation model for Network Meta-Analysis (RaCE-NMA) proposed by Pearce and Zhou (2025).

Where can I learn more?

To learn more about the methodology implemented by this package, check out our paper in the journal Research Synthesis Methods.

For instructions on downloading the RaCE.NMA R package from Github, see the Overview tab.

After downloading, check out the following articles:

• Tutorial for examples of how to use the package's key R functions.
• Reproducibility for code to replicate the paper.
• Reference for a list of functions and links to associated documentation.

Acknowledgements and Funding

This project is partially supported by NIH Grant R21LM014534. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.