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Creates a tibble of win probabilities for each option based on the data observed.
estimate_win_prob(input_df, distribution, priors = list())
tibble object with 2 columns: `option_name` and `win_probability` formatted as a percent
Dataframe containing option_name (str) and various other columns depending on the distribution type. See vignette for more details.
String of the distribution name
Optional list of priors. Defaults will be use otherwise.
input_df <- tibble::tibble( option_name = c("A", "B"), sum_clicks = c(1000, 1000), sum_conversions = c(100, 120) ) estimate_win_prob(input_df, "conversion_rate")
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