Rank-Clustered Estimation for Network Meta-Analysis

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Documentation for package ‘RaCE.NMA’ version 1.0.3

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

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