Bayesian Inference for A|B and Bandit Marketing Tests. 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/Compendiu
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curl https://depscope.dev/api/check/cran/grizbayrFirst published · 2023-10-09 18:09:28
Last updated · 2023-10-09T16:00:02+00:00