statsmodels.sandbox.stats.multicomp.StepDown.run StepDown.run(alpha) [source] main function to run the test, could be done in __call__ instead this could have all the initialization code

statsmodels.sandbox.stats.multicomp.StepDown.iter_subsets StepDown.iter_subsets(indices) [source]

statsmodels.sandbox.stats.multicomp.StepDown.get_distance_matrix StepDown.get_distance_matrix() [source] studentized range statistic

statsmodels.sandbox.stats.multicomp.StepDown.get_crit StepDown.get_crit(alpha) [source]

statsmodels.sandbox.stats.multicomp.StepDown.check_set StepDown.check_set(indices) [source] check whether pairwise distances of indices satisfy condition

Statsmodels Examples This page provides a series of examples, tutorials and recipes to help you get started with statsmodels. Each of the examples shown here is made available as an IPython Notebook and as a plain python script on the statsmodels github repository. If you are not comfortable with git, we also encourage users to submit their own examples, tutorials or cool statsmodels tricks to the Examples wiki page. Topics Linear Regression Models Plotting Discrete Choice Models Nonparamet

statsmodels.stats.weightstats._zstat_generic2 statsmodels.stats.weightstats._zstat_generic2(value, std_diff, alternative) [source] generic (normal) z-test to save typing can be used as ztest based on summary statistics

statsmodels.stats.weightstats._zstat_generic statsmodels.stats.weightstats._zstat_generic(value1, value2, std_diff, alternative, diff=0) [source] generic (normal) z-test to save typing can be used as ztest based on summary statistics

statsmodels.stats.weightstats._zconfint_generic statsmodels.stats.weightstats._zconfint_generic(mean, std_mean, alpha, alternative) [source] generic normal-confint to save typing

statsmodels.stats.weightstats._tstat_generic statsmodels.stats.weightstats._tstat_generic(value1, value2, std_diff, dof, alternative, diff=0) [source] generic ttest to save typing