This is an alias for sample_conv_rate with a different input column. Adds 2 new nested columns to the input_df: `beta_params` and `samples` `beta_params` in each row should be a tibble of length 2 (\(\alpha\) and \(\beta\) parameters) `samples` in each row should be a tibble of length `n_samples`
sample_response_rate(input_df, priors, n_samples = 50000)input_df with 2 new nested columns `beta_params` and `samples`
Dataframe containing option_name (str), sum_conversions (dbl), and sum_sessions (dbl).
Optional list of priors alpha0 and beta0. Default \(Beta(1,1)\) will be use otherwise.
Optional integer value. Defaults to 50,000 samples.
See update_rules vignette for a mathematical representation. $$conversion_i ~ Bernoulli(\phi)$$ $$\phi ~ Beta(\alpha, \beta)$$ Response Rate is sampled from a Beta distribution with a Binomial likelihood of an individual converting.