Metadata-Version: 1.0
Name: ABBA
Version: 0.1.0
Summary: Tools for statistical analysis of A/B test results
Home-page: http://www.thumbtack.com/labs/abba/
Author: Steve Howard
Author-email: steve@thumbtack.com
License: LICENSE.txt
Description: Tools for statistical analysis of A/B test results.
        
        ABBA provides several statistical tools for analysis of binomial data, typically resulting from A/B
        tests:
        
        * Wald and Agresti-Coull confidence intervals on binomial proportions
        * Confidence intervals on the difference and ratio of two binomial proportions
        * Hypothesis tests for inequality of two binomial proportions
        * Multiple test correction for control of familywise error rate
        
        Some simple example usage::
        
            >>> import abba.stats
            >>> abba.stats.confidence_interval_on_proportion(
            ...     num_successes=50, num_trials=200, confidence_level=0.99)
            ValueWithInterval(value=0.25, lower_bound=0.17962262748069852, upper_bound=0.33643200973247306)
        
            >>> experiment = abba.stats.Experiment(
            ...     num_trials=5, baseline_num_successes=50, baseline_num_trials=200)
            >>> results = experiment.get_results(num_successes=70, num_trials=190)
            >>> results.relative_improvement
            ValueWithInterval(value=0.4736842105263157, lower_bound=-0.014130868125315277, upper_bound=0.90421878236700903)
            >>> results.two_tailed_p_value
            0.047886616311815511
        
        
        ABBA requires SciPy for underlying statistical functions.
        
        For more info, see the docstrings, unit tests, and the ABBA website (including an interactive
        Javascript version) at http://www.thumbtack.com/labs/abba/.
        
Platform: UNKNOWN
