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RBesT (version 1.3-6)

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).

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Version

Install

install.packages('RBesT')

Monthly Downloads

1,532

Version

1.3-6

License

GPL (>= 3) | file LICENSE

Maintainer

Sebastian Weber

Last Published

November 15th, 2018

Functions in RBesT (1.3-6)

Crohn's disease.

Operating Characteristics for 1 Sample Design

Beta Mixture Density

decision2S_boundary

Decision Boundary for 2 Sample Designs

Combine Mixture Distributions

Operating Characteristics for 2 Sample Design

decision1S_boundary

Decision Boundary for 1 Sample Designs

Transform Densities with a link function

Summarize Arrays

Decision Function for 2 Sample Designs

Automatic Fitting of Mixtures of Conjugate Distributions to a Sample

Decision Function for 1 Sample Designs

k nearest neighbor algorithm for multi-variate data

Numerically stable summation of logs

Beta-Binomial Probabilities

Fast column-wise calculation of unbiased variances

Robustify Mixture Priors

Read and Set Likelihood to the Corresponding Conjugate Prior

Effective Sample Size for a Conjugate Prior

Meta-Analytic-Predictive Analysis for Generalized Linear Models

Normal Mixture Density

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

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

Fill numeric objects

Diagnostic plots for EM fits

Extract log likelihood from fitted EM objects

Find root of univariate function of integers

Matrix version of log_sum_exp

Mixture Distributions

Fit of Mixture Densities to Samples

Difference of mixture distributions

Utility function to instantiate 2 parameter mixture densities.

Support of Distributions

Plot mixture distributions

The Gamma Mixture Distribution

Conjugate Posterior Analysis

Probability of Success for 2 Sample Design

Diagnostic plots for gMAP analyses

Probability of Success for a 1 Sample Design

Predictive Distributions for Mixture Distributions

Predictions from gMAP analyses

R Bayesian Evidence Synthesis Tools

Functional programming utilities

Ankylosing Spondylitis.

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.

Ulcerative Colitis.

Exact Confidence interval for Binary Proportion

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.