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Package mvpa :: Package clfs :: Module stats :: Class NullDist

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Class NullDist

Base class for null-hypothesis testing.

Nested Classes

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods

__init__(self, tail='both', **kwargs)
Cheap initialization.

source code

_setTail(self, tail)

source code

fit(self, measure, wdata, vdata=None)
Implement to fit the distribution to the data.

source code

cdf(self, x)
Implementations return the value of the cumulative distribution function (left or right tail dpending on the setting).

source code

p(self, x, **kwargs)
Returns the p-value for values of x. source code

Inherited from misc.state.ClassWithCollections: __getattribute__, __new__, __repr__, __setattr__, __str__, reset

Inherited from object: __delattr__, __hash__, __reduce__, __reduce_ex__

Class Variables

_ATTRIBUTE_COLLECTIONS = ['states']

tail = property(fget= lambda x: x.__tail, fset= _setTail)

Inherited from misc.state.ClassWithCollections: _DEV__doc__, descr

Properties

Inherited from object: __class__

Method Details

init(self, tail='both', **kwargs)
(Constructor)

Cheap initialization.

Overrides: misc.state.ClassWithCollections.__init__

p(self, x, **kwargs)

Returns the p-value for values of x. Returned values are determined left, right, or from any tail depending on the constructor setting.

In case a FeaturewiseDatasetMeasure was used to estimate the distribution the method returns an array. In that case x can be a scalar value or an array of a matching shape.

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