This package is considered a duplicate. The official version of this package is found at:https://pearce790.r-universe.dev/RaCE.NMA

Package: RaCE.NMA 1.0.3

Michael Pearce

RaCE.NMA: 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) <doi:10.1017/rsm.2025.10049>.

Authors:Michael Pearce [aut, cre, cph], Shouhao Zhou [aut]

RaCE.NMA_1.0.3.tar.gz
RaCE.NMA_1.0.3.tar.gz(r-4.7-any)RaCE.NMA_1.0.3.tar.gz(r-4.6-any)
RaCE.NMA_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RaCE.NMA/json (API)
NEWS

# Install 'RaCE.NMA' in R:

install.packages('RaCE.NMA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pearce790/race.nma/issues

Pkgdown/docs site:https://pearce790.github.io

Datasets:

toy_data - Toy data of posterior relative treatment effects
wang_posterior - Posterior relative treatment effects for non-baseline treatments based on Wang et. al

On CRAN:

3.18 score 11 exports 34 dependencies

Last updated from:207d080b98. Checks:4 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	OK	173
source / vignettes	OK	298
linux-release-x86_64	OK	175
wasm-release	OK	126

Exports:calculate_Rhat calculate_SUCRA_MNBT clusterplot_ranks cumulativeprobplot_ranks fit_raceNMA forestplot_muhat mcmc_raceNMA sample_partition_correlation sample_partition_independence traceplot_K traceplot_mu

Dependencies:cli coda cpp11 dplyr farver generics ggplot2 glue gtable invgamma isoband labeling lattice lifecycle magrittr mvtnorm pillar pkgconfig plyr R6 RColorBrewer Rcpp reshape2 rlang S7 scales stringi stringr tibble tidyselect utf8 vctrs viridisLite withr

Overview

Rendered fromoverview.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2026-06-02
Started: 2026-06-02

Reproducibility

Rendered fromreproducibility.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2026-06-02
Started: 2026-06-02

Tutorial

Rendered fromtutorial.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2026-06-02
Started: 2026-06-02

Citation

Readme and manuals

Help Manual

Help page	Topics
Calculate Gelman Diagnostics for Fitted RaCE NMA Models	calculate_Rhat
Calculate SUCRA and MNBT based on MCMC draws in NMA or RaCE-NMA models	calculate_SUCRA_MNBT
Create a posterior clustering matrix for the interventions based on RaCE NMA models	clusterplot_ranks
Create a cumulative ranking plot in RaCE NMA models	cumulativeprobplot_ranks
Fit a Bayesian Rank-Clustered Estimation model for Network Meta-Analysis (RaCE-NMA). Recommended for internal use only; use mcmc_RCMVN instead.	fit_raceNMA
Create posterior forest plots for relative treatment effect estimates from a standard or RaCE NMA study	forestplot_muhat
Fit a Bayesian Rank-Clustered Estimation model for Network Meta-Analysis (RaCE-NMA) using multiple MCMC chains	mcmc_raceNMA
Partition sampling in Bayesian RaCE-NMA models (internal use only)	sample_partition_correlation
Partition sampling in Bayesian RaCE-NMA models (internal use only)	sample_partition_independence
Toy data of posterior relative treatment effects	toy_data
Create trace plots for the K parameter in RaCE NMA models	traceplot_K
Create trace plots for the mu parameter in RaCE NMA models	traceplot_mu
Posterior relative treatment effects for non-baseline treatments based on Wang et. al (2022)	wang_posterior

Package: RaCE.NMA 1.0.3

RaCE.NMA: Rank-Clustered Estimation for Network Meta-Analysis

Overview

Reproducibility

Tutorial

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)