Utilities

class WaldTestStatistic(stat, null, df, df_denom=None, name=None)

Test statistic holder for Wald-type tests

Parameters

• stat (float) – The test statistic

• null (str) – A statement of the test’s null hypothesis

• df (int) – Degree of freedom.

• df_denom (int, optional) – Numerator degree of freedom. If provided, uses an F(df, df_denom) distribution.

• name (str, optional) – Name of test

See also

InvalidTestStatistic

property critical_values

Critical values test for common test sizes

property null

Null hypothesis

property pval

P-value of test statistic

property stat

Test statistic

class InvalidTestStatistic(reason, *, name=None)

Class returned if a requested test is not valid for a model

Parameters

• reason (str) – Explanation why test is invalid

• name (str, optional) – Name of test

See also

WaldTestStatistic

property critical_values

Always returns None

property pval

Always returns np.NaN

class AttrDict(*args, **kwargs)

Ordered dictionary-like object that exposes keys as attributes

clear()

Remove all items from AD.

copy()

Create a shallow copy of AD

items()

Return an ordered list-like object providing a view on AD’s items

keys()

Return an ordered list-like object providing a view on AD’s keys

pop(key, default=None)

Remove specified key and return the corresponding value. If key is not found, default is returned if given, otherwise KeyError is raised

update(*args, **kwargs)

Update AD from dictionary or iterable E and F. If E is present and has a .keys() method, then does: for k in E: AD[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: AD[k] = v In either case, this is followed by: for k in F: AD[k] = F[k]

values()

Return an ordered list-like object object providing a view on AD’s values