A web app for analyzing A/B testing data using Bayesian approach
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Updated
Oct 12, 2017 - Jupyter Notebook
A web app for analyzing A/B testing data using Bayesian approach
Discrete Array Variable Reversible jump MCMC
R-Package to calculate Replication Bayes factors in different scenarios
A Bayesian network structure learning routine for collecting all networks within a factor of optimal
BFMeta program
Preprocessed data and analysis scripts of the manuscript "Electrophysiological correlates of the interplay between low-level visual features and emotional content during word reading".
Scripts written in R
daubl: Digit analysis using Benford's law
pcal: Calibration of p-values for point null hypotheses
rstanBF computes the Bayes Factor for specified two-level hierarchical models.
R package bayessource: marginal likelihood and Bayes Factor computation for samples from Multivariate Gaussians
Bayes factors for testing variances
Bayes factors for testing order constraints on variances of dependent outcomes
Empirical Bayes factors for objective statistical evidence
Bayesian Gaussian Graphical Models
Enhancing {ggplot2} plots with statistical analysis 📊📣
👻 Utilities for analyzing Bayesian models and posterior distributions
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