grizbayr (version 1.2.3)

estimate_win_prob: Estimate Win Probability

Description

Creates a tibble of win probabilities for each option based on the data observed.

Usage

estimate_win_prob(input_df, distribution, priors = list())

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.

Value

tibble object with 2 columns: `option_name` and `win_probability` formatted as a percent

Examples

# NOT RUN {
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")

# }