estimate_win_prob_vs_baseline: Estimate Win Probability vs. Baseline

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

Estimate Win Probability vs. Baseline

Description

Calculates the win probability of the best option compared to a single other option given an input_df

Usage

estimate_win_prob_vs_baseline(
  input_df,
  distribution,
  priors = list(),
  wrt_option
)

Arguments

input_df	Dataframe containing option_name (str) and various other columns depending on the distribution type. See vignette for more details.
distribution	String of the distribution name
priors	Optional list of priors. Defaults will be use otherwise.
wrt_option	string the option win prob is calculated with respect to (wrt). Required.

Value

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

Examples

input_df <- tibble::tibble(
    option_name = c("A", "B", "C"),
    sum_clicks = c(1000, 1000, 1000),
    sum_conversions = c(100, 120, 110)
)
estimate_win_prob_vs_baseline(input_df = input_df,
    distribution = "conversion_rate",
    wrt_option = "B")

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