B Testing

ab_arguments	Bayesian A/B Arguments
approx_solver	find_percentile
bernoulli_dist	Bernoulli Distribution
beta_cdf	CDF of Parameterized Beta Distribution
beta_dist	Beta Distribution
b_gt_a	Probability Variant B is Greater Than Variant A
calc_beta_dist	Calculate Parameters For Beta Distribution
calc_gamma_dist	Calculate Parameters For Gamma Distribution
calc_normal_gamma_dist	Calculate Parameters For Normal Gamma Distribution
create_empty_dt	Create an Empty Data Table
expected_loss_b	Expected Loss of Choosing Variant B
gamma_cdf	CDF of Parameterized Gamma Distribution
gamma_dist	Gamma Distribution
get_actual_loss	Actual Loss of an Experiment
get_data_dists	Sample Data Distributions
get_losses	Expected Losses For Variants
get_metrics	Get Bayesian A/B Testing Metrics
get_supported_beta	Get Beta Distribution With Desired Support
get_supported_gamma	Get parameters of gamma distribution from expected and...
get_supported_normal_gamma	Get Normal Gamma Distribution With Desired Support
investigate_simulations	Investigate Properties of Bayesian A/B Testing
normal_dist	Normal Distribution
normal_gamma_dist	Normal-Gamma Distribution
plot_beta	Plot Beta Distributions
plot_gamma	Plot Gamma Distributions
plot_normal	Plot Normal Distributions
plot_relative_gain	Plot Relative Gain
poisson_dist	Poisson Distribution
sim_effect_size	Simulate the effect size of variant B - variant A
simulate_ab_test	Simulate a Bayesian A/B Test
simulate_data	Simulate Data According to Some Distribution
single_loss_stop	Decide whether to stop the experiment using the last loss...
update_prior	Update Prior Parameters
update_priors	Update the hyper-parameters of prior distributions
validate_dt	Check That Data Table Matches Expectations
validate_inputs	Validate Inputs to Bayesian A/B Simulation