sample_ctr | R Documentation |
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'
sample_ctr(input_df, priors, n_samples = 50000)
input_df |
Dataframe containing option_name (str), sum_clicks (dbl), and sum_impressions (dbl). |
priors |
Optional list of priors alpha0 and beta0.
Default |
n_samples |
Optional integer value. Defaults to 50,000 samples. |
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
input_df with 2 new nested columns 'beta_params' and 'samples'
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