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`
sample_cpc(input_df, priors, n_samples = 50000)input_df with 2 new nested columns `gamma_params` and `samples`
Dataframe containing option_name (str), sum_clicks (dbl), sum_cost (dbl).
Optional list of priors k0, theta0 for Gamma. Default \(Gamma(1, 250)\) will be use otherwise.
Optional integer value. Defaults to 50,000 samples.
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.