Package: grizbayr 1.3.5
grizbayr: 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/CompendiumOfConjugatePriors.pdf>. Stucchio, Chris (2015) "Bayesian A/B Testing at VWO" <https://vwo.com/downloads/VWO_SmartStats_technical_whitepaper.pdf>.
Authors:
grizbayr_1.3.5.tar.gz
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grizbayr.pdf |grizbayr.html✨
grizbayr/json (API)
NEWS
| # Install 'grizbayr' in R: |
| install.packages('grizbayr', repos = c('https://r-angi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rangi513/grizbayr/issues
Last updated 1 years agofrom:8102c9f759. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win | NOTE | Nov 11 2024 |
| R-4.5-linux | NOTE | Nov 10 2024 |
| R-4.4-win | NOTE | Nov 11 2024 |
| R-4.4-mac | NOTE | Nov 11 2024 |
| R-4.3-win | OK | Nov 11 2024 |
| R-4.3-mac | OK | Nov 11 2024 |
Exports:estimate_all_valuesestimate_liftestimate_lift_vs_baselineestimate_lossestimate_value_remainingestimate_win_probestimate_win_prob_given_posteriorestimate_win_prob_vs_baselineestimate_win_prob_vs_baseline_given_posteriorfind_best_optionrdirichletsample_from_posteriorupdate_betaupdate_dirichletupdate_gammavalidate_input_df
Dependencies:clicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr
