estimate_lift: Estimate Lift Distribution

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

Estimate Lift Distribution

Description

Estimates lift distribution vector from posterior samples.

Usage

estimate_lift(posterior_samples, distribution, wrt_option, metric = "lift")

Arguments

posterior_samples	Tibble returned from sample_from_posterior with 3 columns 'option_name', 'samples', and 'sample_id'.
distribution	String of the distribution name
wrt_option	string the option lift is calculated with respect to (wrt). Required.
metric	string the type of lift. 'absolute“ will be the difference, on the outcome scale. 0 when best = wrt_option 'lift“ will be the (best - wrt_option) / wrt_option, 0 when best = wrt_option 'relative_risk“ will be the ratio best/wrt_option, 1 when best = wrt_option

Value

numeric, the lift distribution

Examples

# Requires posterior_samples dataframe. See `sample_from_posterior()`
# for an example.

## Not run: 
estimate_lift(posterior_samples = posterior_samples,
              distribution = "conversion_rate",
              wrt_option = "A",
              metric = "lift")

## End(Not run)

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