sample_multi_rev_per_session: Sample Multiple Revenue Per Session

In grizbayr: Bayesian Inference for A|B and Bandit Marketing Tests

Sample Multiple Revenue Per Session

Description

Adds 5 new nested columns to the input_df: 'dirichlet_params', 'gamma_params_A', 'gamma_params_B', and 'samples'. This samples from multiple revenue per session distributions at once.

Usage

sample_multi_rev_per_session(input_df, priors, n_samples = 50000)

Arguments

input_df	Dataframe containing option_name (str), sum_conversions (dbl), sum_sessions (dbl), sum_revenue (dbl), sum_conversion_2 (dbl), sum_sessions_2 (dbl), sum_revenue_2 (dbl).
priors	Optional list of priors alpha0 and beta0. Default Beta(1,1) will be use otherwise.
n_samples	Optional integer value. Defaults to 50,000 samples.

Details

See update_rules vignette for a mathematical representation.

conversion_i ~ MultiNomial(\phi_1, \phi_2, ..., \phi_k)

\phi_k ~ Dirichlet(\alpha, \beta)

Conversion Rate is sampled from a Dirichlet distribution with a Multinomial likelihood of an individual converting.

Value

input_df with 4 new nested columns 'dirichlet_params', 'gamma_params_A', 'gamma_params_B', and 'samples'. 'samples' in each row should be a tibble of length 'n_samples'.

grizbayr documentation built on Oct. 9, 2023, 5:10 p.m.