Learn R Programming

RBesT (version 1.11-0)

R Bayesian Evidence Synthesis Tools

Description

Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases). Please refer to Weber et al. (2021) for details on applying this package while Neuenschwander et al. (2010) and Schmidli et al. (2014) explain details on the methodology.

Copy Link

Version

Install

install.packages('RBesT')

Monthly Downloads

2,930

Version

1.11-0

License

GPL (>= 3)

Maintainer

Sebastian Weber

Last Published

August 4th, 2026

Functions in RBesT (1.11-0)

.gmap_empty_diag_draws_array

Create An Empty Sampler Diagnostics Array For A gMAP Skeleton

decision2S_boundary

Decision Boundary for 2 Sample Designs

.gmap_warn_no_samples

Warn When A gMAP Object Has No Posterior Samples

Transform Densities with a link function

.gmap_draws_array

Access Posterior Draws For gMAP Helpers

Effective Sample Size for a Conjugate Prior

.gmap_empty_draws_array

Create An Empty Posterior Draws Array For A gMAP Skeleton

Convert diagnostic draws to bayesplot's long data frame format

.gmap_extract_diag_draws_array

Extract non-permuted sampler diagnostics from a Stan fit

.gmap_divergence_count

Count divergent transitions from stored sampler diagnostics

.gmap_all_diag_df

Combine warmup and post-warmup diagnostics and return bayesplot format

Fill numeric objects

.gmap_extract_draws_array

Extract non-permuted posterior draws from a Stan fit

.gmap_all_draws

Combine warmup and post-warmup posterior draws

.gmap_sampler_summary

Summarize sampler diagnostics from stored draws

Logit (log-odds) and inverse-logit function.

.gmap_empty_draws_summary

Create An NA Summary Table For Empty Draws

.gmap_mcmc_metadata

Collect MCMC metadata for a gMAP fit

Transform gMAP to draws objects

Read and Set Likelihood to the Corresponding Conjugate Prior

k nearest neighbor algorithm for multi-variate data

integrate_gauss_quadrature

Gaussian quadrature for mixture density integration

Extract log likelihood from fitted EM objects

Summarize selected posterior variables from stored draws

.gmap_thin_draws

Thin Draws While Preserving Empty Skeleton Draws

integrate_density.normMix

Integrate a function against a mixture density

Numerically stable log of the inv_logit function

Meta-Analytic-Predictive Analysis for Generalized Linear Models

Beta Mixture Density

Combine Mixture Distributions

integrate_density_log.normMix

Integrate a log-space function against a mixture density

The Gamma Mixture Distribution

Multivariate Normal Mixture Density

Write and Read a Mixture Object with JSON

Difference of mixture distributions

takes x and transforms it according to the defined link function of the mixture

Fit of Mixture Densities to Samples

Mixture Distributions

Utility function to instantiate 2 parameter mixture densities.

Operating Characteristics for 1 Sample Design

Diagnostic plots for EM fits

Plot mixture distributions

Normal Mixture Density

Operating Characteristics for 2 Sample Design

Diagnostic plots for gMAP analyses

Probability of Success for a 1 Sample Design

Return the number of posterior samples

Probability of Success for 2 Sample Design

Mixture distributions as brms priors

Support of Distributions

Predictive Distributions for Mixture Distributions

Robustify Mixture Priors

Predictions from gMAP analyses

Conjugate Posterior Analysis

sigma_from_family

Compute sigma as a function of eta for a GLM family

Find root of univariate function of integers

resolve_sigma_family

Resolve family/sigma arguments into a sigma_fun closure

Functional programming utilities

R Bayesian Evidence Synthesis Tools

Exact Confidence interval for Binary Proportion

decision1S_boundary

Decision Boundary for 1 Sample Designs

Automatic Fitting of Mixtures of Conjugate Distributions to a Sample

Decision Function for 2 Sample Designs

Decision Function for 1 Sample Designs

Crohn's disease.

create_decision2S_2sided

Internal Constructor for 2 Sample Two-sided Decision Function

Ankylosing Spondylitis.

create_decision2S_atomic

Internal Constructor for Atomic 2 Sample One-sided Decision Function

Beta-Binomial Probabilities

create_decision1S_2sided

Internal Constructor for 1 Sample Two-sided Decision Function

Scrambles the order of a mcmc array object for usage as a mcmc sample. It is advisable to set order once per mcmc run, otherwise correlations in the mcmc sample will be lost.

create_decision1S_1sided

Internal Constructor for 1 Sample One-sided Decision Function

Fast column-wise calculation of unbiased variances

create_decision2S_1sided

Internal Constructor for 2 Sample One-sided Decision Function

Asthma exacerbation recurrent event data.

Ulcerative Colitis.

create_decision1S_atomic

Internal Constructor for Atomic 1 Sample One-sided Decision Function