Function reference • bayesAB

Running a Bayesian AB Test Construct a Bayesian AB Test object from some data and priors.
`bayesTest()`	Fit a Bayesian model to A/B test data.
Plotting Distributions Functions for plotting distributions. Useful for experimenting with data and choosing priors for your bayesTest objects.
`plotBeta()`	Plot the PDF of the Beta distribution.
`plotGamma()`	Plot the PDF of the Gamma distribution.
`plotInvGamma()`	Plot the PDF of the Inverse Gamma distribution.
`plotLogNormal()`	Plot the PDF of the Log Normal distribution.
`plotNormal()`	Plot the PDF of the Normal distribution.
`plotPareto()`	Plot the PDF of the Pareto distribution.
`plotPoisson()`	Plot the PDF of the Poisson distribution.
`plotNormalInvGamma()`	Plot the bivariate PDF of the Normal Inverse Gamma Distribution.
Generics Generic functions that can help you examine a trained bayesTest object.
`plot(<bayesTest>)`	Plot bayesTest objects
`summary(<bayesTest>)`	Summarize bayesTest objects
`c(<bayesTest>)`	Concatenate bayesTest objects
Helpers Helper functions for further exploring a trained bayesTest object.
`grab()`	Grab the supplied posterior from a bayesTest object
`rename()`	Rename the posterior for a bayesTest object
`combine()`	Combine two `bayesAB` objects given a binary function.
Deploying Functions to construct and deploy a Bayesian Bandit from a bayesTest object.
`banditize()`	Create a multi-armed Bayesian bandit object.
`deployBandit()`	Deploy a bayesBandit object as a JSON API.

Reference