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RBesT (version 1.3-8)

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 Neuenschwander et al. (2010) and Schmidli et al. (2014) for details on the methodology.

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Version

Install

install.packages('RBesT')

Monthly Downloads

1,397

Version

1.3-8

License

GPL (>= 3) | file LICENSE

Maintainer

Sebastian Weber

Last Published

April 4th, 2019

Functions in RBesT (1.3-8)

Ankylosing Spondylitis.

Summarize Arrays

Difference of mixture distributions

Plot mixture distributions

Probability of Success for a 1 Sample Design

Transform Densities with a link function

k nearest neighbor algorithm for multi-variate data

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.

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.

Fast column-wise calculation of unbiased variances

Read and Set Likelihood to the Corresponding Conjugate Prior

Ulcerative Colitis.

R Bayesian Evidence Synthesis Tools

Crohn's disease.

Mixture Distributions

Numerically stable summation of logs

Meta-Analytic-Predictive Analysis for Generalized Linear Models

Beta-Binomial Probabilities

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

Diagnostic plots for EM fits

Automatic Fitting of Mixtures of Conjugate Distributions to a Sample

Decision Function for 1 Sample Designs

Fit of Mixture Densities to Samples

Matrix version of log_sum_exp

Extract log likelihood from fitted EM objects

Probability of Success for 2 Sample Design

Diagnostic plots for gMAP analyses

Predictive Distributions for Mixture Distributions

Predictions from gMAP analyses

decision1S_boundary

Decision Boundary for 1 Sample Designs

Conjugate Posterior Analysis

Decision Function for 2 Sample Designs

Beta Mixture Density

Combine Mixture Distributions

Normal Mixture Density

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

The Gamma Mixture Distribution

Find root of univariate function of integers

Functional programming utilities

Exact Confidence interval for Binary Proportion

decision2S_boundary

Decision Boundary for 2 Sample Designs

Effective Sample Size for a Conjugate Prior

Fill numeric objects

Operating Characteristics for 1 Sample Design

Operating Characteristics for 2 Sample Design

Robustify Mixture Priors

Support of Distributions