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_page_views_per_session(input_df, priors, n_samples = 50000)input_df with 2 new nested columns `gamma_params` and `samples`
Dataframe containing option_name (str), sum_sessions (dbl), and sum_page_views_per_session (dbl).
Optional list of priors k0 and theta0. Default \(Gamma(1, 250)\) will be use otherwise. \(Gamma(1, 1)\) might also be a good choice for this distribution if you only have a few page views per session.
Optional integer value. Defaults to 50,000 samples.
See update_rules vignette for a mathematical representation. $$page_views_i ~ Poisson(\lambda)$$ $$\lambda ~ Gamma(k, \theta)$$ Page Views Per Visit is sampled from a Gamma distribution with a Poisson likelihood of an individual having n page views by the end of their session.
This is not always the case, so verify your data follows the shape of an Poisson distribution before using this.