sample_ctr {grizbayr}

Sample Click Through Rate

Description

This is an alias for sample_conv_rate with 2 different input columns. This function calculates posterior samples of CTR = clicks/impressions. 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'

Usage

sample_ctr(input_df, priors, n_samples = 50000)

Arguments

input_df

Dataframe containing option_name (str), sum_clicks (dbl), and sum_impressions (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.

click_i ~ Bernoulli(\phi)

\phi ~ Beta(\alpha, \beta)

Click Through Rate is sampled from a Beta distribution with a Binomial likelihood of an individual Clicking

Value

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