bayesAB (version 1.1.3)

summary.bayesTest: Summarize bayesTest objects

Description

Summary method for objects of class "bayesTest".

Usage

# S3 method for bayesTest
summary(
  object,
  percentLift = rep(0, length(object$posteriors)),
  credInt = rep(0.9, length(object$posteriors)),
  ...
)

Arguments

object

an object of class "bayesTest"

percentLift

a vector of length(x$posteriors). Each entry corresponds to the percent lift ((A - B) / B) to summarize for for the respective posterior in x. Note this is on a 'point' scale. percentLift = 5 implies you want to test for a 5% lift.

credInt

a vector of length(x$posteriors). Each entry corresponds to the width of credible interval of (A - B) / B to calculate for the respective posterior in x. Also on a 'point' scale.

...

additional arguments affecting the summary produced.

Value

A summaryBayesTest object which contains summaries of the Posterior distributions, direct probabilities that A > B (by percentLift), credible intervals on (A - B) / B, and the Posterior Expected Loss on all estimated parameters.

Examples

# NOT RUN {
A_pois <- rpois(100, 5)
B_pois <- rpois(100, 4.7)

AB1 <- bayesTest(A_pois, B_pois, priors = c('shape' = 25, 'rate' = 5), distribution = 'poisson')

summary(AB1)
summary(AB1, percentLift = 10, credInt = .95)

# }