R Bayesian Evidence Synthesis Tools
Automatic Fitting of Mixtures of Conjugate Distributions to a Sample
Exact Confidence interval for Binary Proportion
Scrambles the order of a mcmc array object for usage as a mcmc sample....
Fast column-wise calculation of unbiased variances
Functional programming utilities
Beta-Binomial Probabilities
Decision Boundary for 1 Sample Designs
Decision Function for 1 Sample Designs
Decision Boundary for 2 Sample Designs
Decision Function for 2 Sample Designs
Transform Densities with a link function
Effective Sample Size for a Conjugate Prior
Fill numeric objects
Forest Plot
Meta-Analytic-Predictive Analysis for Generalized Linear Models
internal function used for integration of densities which appears to b...
k nearest neighbor algorithm for multi-variate data
Read and Set Likelihood to the Corresponding Conjugate Prior
Logit (log-odds) and inverse-logit function.
Numerically stable log of the inv_logit function
Extract log likelihood from fitted EM objects
Mixture Distributions
Beta Mixture Density
Combine Mixture Distributions
Difference of mixture distributions
Utility function to instantiate 2 parameter mixture densities.
Fit of Mixture Densities to Samples
The Gamma Mixture Distribution
takes x and transforms it according to the defined link function of th...
Multivariate Normal Mixture Density
Normal Mixture Density
Plot mixture distributions
Mixture distributions as brms
priors
Operating Characteristics for 1 Sample Design
Operating Characteristics for 2 Sample Design
Diagnostic plots for EM fits
Diagnostic plots for gMAP analyses
Probability of Success for a 1 Sample Design
Probability of Success for 2 Sample Design
Conjugate Posterior Analysis
Predictive Distributions for Mixture Distributions
Predictions from gMAP analyses
R Bayesian Evidence Synthesis Tools
Robustify Mixture Priors
Summarize Arrays
Support of Distributions
Find root of univariate function of integers
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) <doi:10.18637/jss.v100.i19> for details on applying this package while Neuenschwander et al. (2010) <doi:10.1177/1740774509356002> and Schmidli et al. (2014) <doi:10.1111/biom.12242> explain details on the methodology.