extractors: Extraction functions for ab objects

In abtest: Bayesian A/B Testing

Description

Extraction functions for objects returned from the ab_test function.

Usage

get_bf(x, log = FALSE)

get_prior_prob(x)

get_post_prob(x)

get_post_samples(x, hypothesis = "H1")

Arguments

x	object of class "ab" as returned from ab_test.
log	determines whether the log Bayes factors are returned.
hypothesis	determines for which hypothesis posterior samples are returned. Needs to be either "H1", "H+", or "H-" (the default is "H1").

Value

get_bf returns the Bayes factors in favor of "H1", "H+", and "H-" (compared to H0). get_prior_prob returns the prior probabilities of the hypotheses. get_post_prob returns the posterior probabilities of the hypotheses. get_post_samples returns posterior samples for the specified hypothesis.

Examples

# synthetic data
data <- list(y1 = 10, n1 = 28, y2 = 14, n2 = 26)

# Bayesian A/B test with default settings
ab <- ab_test(data = data, posterior = TRUE)

# extract Bayes factors
get_bf(ab)

# extract prior probabilities
get_prior_prob(ab)

# extract posterior probabilities
get_post_prob(ab)

# extract posterior samples for H1
s <- get_post_samples(ab, hypothesis = "H1")

abtest documentation built on Nov. 22, 2021, 9:07 a.m.