View source: R/sample_from_posterior.R
sample_from_posterior | R Documentation |
Selects which function to use to sample from the posterior distribution
sample_from_posterior(
input_df,
distribution,
priors = list(),
n_samples = 50000
)
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. |
n_samples |
Optional integer value. Defaults to 50,000 samples. |
A tibble with 2 columns: option_name (chr) and samples (dbl) [long form data].
input_df <- tibble::tibble(
option_name = c("A", "B"),
sum_clicks = c(1000, 1000),
sum_conversions = c(100, 120),
sum_sessions = c(1000, 1000),
sum_revenue = c(1000, 1500)
)
sample_from_posterior(input_df, "conversion_rate")
sample_from_posterior(input_df, "rev_per_session")
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