calculate_multi_rev_per_session

Dirichlet samples containing a tibble with columns alpha_1, alpha_2, and alpha_0

conv_rates

Vector of inverse revenue samples from A conversion type

inverse_rev_A

Vector of inverse revenue samples from B conversion type

inverse_rev_B

Uses simple Bayesian conjugate prior update rules to calculate
the win probability of each option, value remaining in the test, and
percent lift over the baseline for various marketing objectives.
References:
Fink, Daniel (1997) "A Compendium of Conjugate Priors" <https://www.johndcook.com/CompendiumOfConjugatePriors.pdf>.
Stucchio, Chris (2015) "Bayesian A/B Testing at VWO" <http://cdn2.hubspot.net/hubfs/310840/VWO_SmartStats_technical_whitepaper.pdf>.

calculate_multi_rev_per_session: Calculate Multi Rev Per Session

Description

Usage

Arguments

Value