estimate_win_prob_given_posterior: Estimate Win Probability Given Posterior Distribution

In grizbayr: Bayesian Inference for A|B and Bandit Marketing Tests

Estimate Win Probability Given Posterior Distribution

Description

Estimate Win Probability Given Posterior Distribution

Usage

estimate_win_prob_given_posterior(posterior_samples, winner_is_max = TRUE)

Arguments

posterior_samples	Tibble of data in long form with 2 columns 'option_name' and 'samples'
winner_is_max	Boolean. This should almost always be TRUE. If a larger number is better then this should be TRUE. This should be FALSE for metrics such as CPA or CPC where a higher cost is not necessarily better.

Value

Tibble of each option_name and the win probability expressed as a percentage and a decimal 'raw'

Examples

# Requires posterior_samples dataframe. See `sample_from_posterior()`
# for an example.
## Not run: 
estimate_win_prob_given_posterior(posterior_samples = posterior_samples)
estimate_win_prob_given_posterior(
    posterior_samples = posterior_samples,
    winner_is_max = TRUE
)

## End(Not run)

grizbayr documentation built on Oct. 9, 2023, 5:10 p.m.