find_best_option {grizbayr}

Find Best Option

Description

Samples from posterior, calculates win probability, and selects the best option. Note: this can be inefficient if you already have the win probability dataframe. Only use this if that has not already been calculated.

Usage

find_best_option(posterior_samples, distribution)

Arguments

posterior_samples

Tibble returned from sample_from_posterior with 3 columns 'option_name', 'samples', and 'sample_id'.

distribution

String: name of the distribution

Value

String: the best option name

Examples

# Requires posterior distribution
## Not run: 
find_best_option(posterior_samples = posterior_samples, distribution = "conversion_rate")

## End(Not run)