R: Rank-Clustered Estimation for Network Meta-Analysis

# Rank-Clustered Estimation for Network Meta-Analysis

## Documentation for package ‘RaCE.NMA’ version 1.0.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## 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)