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