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RBesT (version 1.12-0)

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.

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Version

Install

install.packages('RBesT')

Monthly Downloads

2,930

Version

1.12-0

License

GPL (>= 3)

Maintainer

Sebastian Weber

Last Published

September 18th, 2026

Functions in RBesT (1.12-0)

Crohn's disease.

decision2S_boundary

Decision Boundary for 2 Sample Designs

Transform Densities with a link function

Effective Sample Size for a Conjugate Prior

Transform gMAP to draws objects

Convert diagnostic draws to bayesplot's long data frame format

Fill numeric objects

.gmap_warn_no_samples

Warn When A gMAP Object Has No Posterior Samples

.gmap_divergence_count

Count divergent transitions from stored sampler diagnostics

.gmap_all_diag_df

Combine warmup and post-warmup diagnostics and return bayesplot format

.gmap_all_draws

Combine warmup and post-warmup posterior draws

Summarize selected posterior variables from stored draws

integrate_density_log.normMix

Integrate a log-space function against a mixture density

.gmap_thin_draws

Thin Draws While Preserving Empty Skeleton Draws

integrate_density.normMix

Integrate a function against a mixture density

integrate_gauss_quadrature

Gaussian quadrature for mixture density integration

Read and Set Likelihood to the Corresponding Conjugate Prior

Mixture Distributions

.gmap_draws_array

Access Posterior Draws For gMAP Helpers

k nearest neighbor algorithm for multi-variate data

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

.gmap_mcmc_metadata

Collect MCMC metadata for a gMAP fit

.gmap_sampler_summary

Summarize sampler diagnostics from stored draws

.gmap_empty_diag_draws_array

Create An Empty Sampler Diagnostics Array For A gMAP Skeleton

Write and Read a Mixture Object with JSON

The Gamma Mixture Distribution

Beta Mixture Density

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

Multivariate Normal Mixture Density

Meta-Analytic-Predictive Analysis for Generalized Linear Models

.gmap_empty_draws_summary

Create An NA Summary Table For Empty Draws

.gmap_extract_draws_array

Extract non-permuted posterior draws from a Stan fit

.gmap_empty_draws_array

Create An Empty Posterior Draws Array For A gMAP Skeleton

Normal Mixture Density

Plot mixture distributions

Operating Characteristics for 1 Sample Design

Mixture distributions as brms priors

Probability of Success for a 1 Sample Design

Operating Characteristics for 2 Sample Design

Utility function to instantiate 2 parameter mixture densities.

Diagnostic plots for EM fits

Diagnostic plots for gMAP analyses

Fit of Mixture Densities to Samples

Numerically stable log of the inv_logit function

Extract log likelihood from fitted EM objects

.gmap_extract_diag_draws_array

Extract non-permuted sampler diagnostics from a Stan fit

Robustify Mixture Priors

Conjugate Posterior Analysis

Return the number of posterior samples

Predictions from gMAP analyses

Predictive Distributions for Mixture Distributions

resolve_sigma_family

Resolve family/sigma arguments into a sigma_fun closure

sigma_from_family

Compute sigma as a function of eta for a GLM family

Probability of Success for 2 Sample Design

Support of Distributions

Find root of univariate function of integers

Combine Mixture Distributions

Difference of mixture distributions

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.

Exact Confidence interval for Binary Proportion

R Bayesian Evidence Synthesis Tools

Automatic Fitting of Mixtures of Conjugate Distributions to a Sample

Decision Function for 2 Sample Designs

decision1S_boundary

Decision Boundary for 1 Sample Designs

Decision Function for 1 Sample Designs

Beta-Binomial Probabilities

Functional programming utilities

Ulcerative Colitis.

create_decision2S_1sided

Internal Constructor for 2 Sample One-sided Decision Function

create_decision1S_1sided

Internal Constructor for 1 Sample One-sided Decision Function

create_decision2S_atomic

Internal Constructor for Atomic 2 Sample One-sided Decision Function

Ankylosing Spondylitis.

Fast column-wise calculation of unbiased variances

Asthma exacerbation recurrent event data.

create_decision2S_2sided

Internal Constructor for 2 Sample Two-sided Decision Function

create_decision1S_atomic

Internal Constructor for Atomic 1 Sample One-sided Decision Function

create_decision1S_2sided

Internal Constructor for 1 Sample Two-sided Decision Function