Learn R Programming

RBesT (version 1.8-1)

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

1,475

Version

1.8-1

License

GPL (>= 3)

Maintainer

Sebastian Weber

Last Published

January 21st, 2025

Functions in RBesT (1.8-1)

decision2S_boundary

Decision Boundary for 2 Sample Designs

Transform Densities with a link function

Decision Function for 2 Sample Designs

Effective Sample Size for a Conjugate Prior

Decision Function for 1 Sample Designs

Read and Set Likelihood to the Corresponding Conjugate Prior

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

Meta-Analytic-Predictive Analysis for Generalized Linear Models

Numerically stable log of the inv_logit function

Operating Characteristics for 1 Sample Design

integrate_density_log

internal function used for integration of densities which appears to be much more stable from -Inf to +Inf in the logit space while the density to be integrated recieves inputs from 0 to 1 such that the inverse distribution function must be used. The integral solved is int_x dmix(mix,x) integrand(x) where integrand must be given as log and we integrate over the support of mix.

Utility function to instantiate 2 parameter mixture densities.

Combine Mixture Distributions

Extract log likelihood from fitted EM objects

The Gamma Mixture Distribution

Mixture Distributions

Conjugate Posterior Analysis

Beta Mixture Density

Predictive Distributions for Mixture Distributions

Diagnostic plots for EM fits

Difference of mixture distributions

Normal Mixture Density

Multivariate Normal Mixture Density

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

Plot mixture distributions

k nearest neighbor algorithm for multi-variate data

Probability of Success for 2 Sample Design

Diagnostic plots for gMAP analyses

Find root of univariate function of integers

Fit of Mixture Densities to Samples

Robustify Mixture Priors

Predictions from gMAP analyses

Mixture distributions as brms priors

Operating Characteristics for 2 Sample Design

Probability of Success for a 1 Sample Design

Support of Distributions

Summarize Arrays

Exact Confidence interval for Binary Proportion

R Bayesian Evidence Synthesis Tools

Automatic Fitting of Mixtures of Conjugate Distributions to a Sample

Fast column-wise calculation of unbiased variances

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.

Ankylosing Spondylitis.

Functional programming utilities

Ulcerative Colitis.

Crohn's disease.

decision1S_boundary

Decision Boundary for 1 Sample Designs

Fill numeric objects

Beta-Binomial Probabilities