sample_from_posterior: Sample From Posterior

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

Sample From Posterior

Description

Selects which function to use to sample from the posterior distribution

Usage

sample_from_posterior(
  input_df,
  distribution,
  priors = list(),
  n_samples = 50000
)

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.
n_samples	Optional integer value. Defaults to 50,000 samples.

Value

A tibble with 2 columns: option_name (chr) and samples (dbl) [long form data].

Examples

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")

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