Reference

Model Estimation Function

Primary function to estimate RaCE NMA models

mcmc_RCMVN()

Fit a Bayesian Rank-Clustered Estimation model for Network Meta-Analysis (RaCE-NMA) using multiple MCMC chains

Model Plotting and Assessment Functions

Functions that allow for plotting results of RaCE NMA models or assessing MCMC chains.

createtrace_mu()

Create trace plots for the mu parameter in RaCE NMA models

createtrace_K()

Create trace plots for the K parameter in RaCE NMA models

create_violinplot()

Create posterior violin plots for the mu parameters in RaCE NMA models

create_forestplot()

Create posterior forest plots for the mu parameters in RaCE NMA models

create_cumulativeranking()

Create a cumulative ranking plot in RaCE NMA models

create_clustermatrix()

Create a posterior clustering matrix for the interventions based on RaCE NMA models

calculate_Rhat()

Calculate Gelman Diagnostics for Fitted RaCE NMA Models

Helper Functions

Functions used during model-fitting that are not needed by the user, but are provided for completeness and reproducibility.

sample_partition_independence()

Partition sampling in Bayesian RaCE-NMA models (internal use only)

sample_partition_correlation()

Partition sampling in Bayesian RaCE-NMA models (internal use only)

fit_RCMVN()

Fit a Bayesian Rank-Clustered Estimation model for Network Meta-Analysis (RaCE-NMA). Recommended for internal use only; use mcmc_RCMVN instead.