Decision Function for 2 Sample Designs
Meta-Analytic-Predictive Analysis for Generalized Linear Models
Forest Plot
Decision Boundary for 1 Sample Designs
Effective Sample Size for a Conjugate Prior
Beta-Binomial Probabilities
Decision Function for 1 Sample Designs
Logit (log-odds) and inverse-logit function.
Extract log likelihood from fitted EM objects
Transform Densities with a link function
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.
Read and Set Likelihood to the Corresponding Conjugate Prior
Beta Mixture Density
Mixture Distributions
Fit of Mixture Densities to Samples
Numerically stable log of the inv_logit function
k nearest neighbor algorithm for multi-variate data
Utility function to instantiate 2 parameter mixture densities.
Plot mixture distributions
Multivariate Normal Mixture Density
Mixture distributions as brms priors
The Gamma Mixture Distribution
Normal Mixture Density
takes x and transforms it according to the defined link function of
the mixture
Diagnostic plots for EM fits
Operating Characteristics for 1 Sample Design
Diagnostic plots for gMAP analyses
Combine Mixture Distributions
Find root of univariate function of integers
Predictions from gMAP analyses
Robustify Mixture Priors
Transplant.
Conjugate Posterior Analysis
Predictive Distributions for Mixture Distributions
Difference of mixture distributions
Operating Characteristics for 2 Sample Design
Probability of Success for a 1 Sample Design
Probability of Success for 2 Sample Design
Support of Distributions
Functional programming utilities
R Bayesian Evidence Synthesis Tools
Exact Confidence interval for Binary Proportion
Automatic Fitting of Mixtures of Conjugate Distributions to a Sample
Crohn's disease.
Ankylosing Spondylitis.
Ulcerative Colitis.
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
Summarize Arrays
Decision Boundary for 2 Sample Designs
Fill numeric objects