sample_cpc: Sample Cost Per Click

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

Sample Cost Per Click

Description

Adds 2 new nested columns to the input_df: 'gamma_params' and 'samples' 'gamma_params' in each row should be a tibble of length 2 (k and \theta parameters) 'samples' in each row should be a tibble of length 'n_samples'

Usage

sample_cpc(input_df, priors, n_samples = 50000)

Arguments

input_df	Dataframe containing option_name (str), sum_clicks (dbl), sum_cost (dbl).
priors	Optional list of priors k0, theta0 for Gamma. Default Gamma(1, 250) will be use otherwise.
n_samples	Optional integer value. Defaults to 50,000 samples.

Details

See update_rules vignette for a mathematical representation.

cpc_i ~ Exponential(\lambda)

\lambda ~ Gamma(k, \theta)

Average CPC is sampled from a Gamma distribution with an Exponential likelihood of an individual cost.

Value

input_df with 2 new nested columns 'gamma_params' and 'samples'

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