Man pages for grizbayr
Bayesian Inference for A|B and Bandit Marketing Tests

calculate_multi_rev_per_sessionCalculate Multi Rev Per Session
calculate_total_cmCalculate Total CM
estimate_all_valuesEstimate All Values
estimate_liftEstimate Lift Distribution
estimate_lift_vs_baselineEstimate Lift vs Baseline
estimate_lossEstimate Loss
estimate_value_remainingEstimate Value Remaining
estimate_win_probEstimate Win Probability
estimate_win_prob_given_posteriorEstimate Win Probability Given Posterior Distribution
estimate_win_prob_vs_baselineEstimate Win Probability vs. Baseline
estimate_win_prob_vs_baseline_given_posteriorEstimate Win Probability vs. Baseline Given Posterior
find_best_optionFind Best Option
grizbayr-packagegrizbayr: Bayesian Inference for A|B and Bandit Marketing...
impute_missing_optionsImpute Missing Options
is_prior_validIs Prior Valid
is_winner_maxIs Winner Max
rdirichletRandom Dirichlet
sample_cm_per_clickSample CM Per Click
sample_conv_rateSample Conversion Rate
sample_cpaSample Cost Per Activation (CPA)
sample_cpcSample Cost Per Click
sample_ctrSample Click Through Rate
sample_from_posteriorSample From Posterior
sample_multi_rev_per_sessionSample Multiple Revenue Per Session
sample_page_views_per_sessionSample Page Views Per Session (Visit)
sample_response_rateSample Response Rate
sample_rev_per_sessionSample Rev Per Session
sample_session_durationSample Session Duration
sample_total_cmSample Total CM (Given Impression Count)
update_betaUpdate Beta
update_dirichletUpdate Dirichlet Distribution
update_gammaUpdate Gamma
validate_data_valuesValidate Data Values
validate_input_columnValidate Input Column
validate_input_dfValidate Input DataFrame
validate_posterior_samplesValidate Posterior Samples Dataframe
validate_priorsValidate Priors
validate_wrt_optionValidate With Respect To Option
grizbayr documentation built on Oct. 9, 2023, 5:10 p.m.