gaussfree.estimation.binomial.EstimateBinomialP

class gaussfree.estimation.binomial.EstimateBinomialP(n_trials, n_success, prior_dist=None, n_points=1001, hpd_area=0.68)[source]

Bases: object

Estimator for the success probability in a binomial distribution.

Methods

compute_probabilities

Compute the likelihood, prior, and posterior probabilities.

compute_statistics

Compute statistics based on posterior probability.

get_hpdi

Get the highest posterior density interval.

report

Print statistics and plot the prior, likelihood, and posterior.

compute_probabilities()[source]

Compute the likelihood, prior, and posterior probabilities.

compute_statistics()[source]

Compute statistics based on posterior probability.

get_hpdi()[source]

Get the highest posterior density interval.

report()[source]

Print statistics and plot the prior, likelihood, and posterior.