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

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# Class NullDist

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Base class for null-hypothesis testing.

Nested Classes | [hide private]

Inherited from `misc.state.ClassWithCollections`: `__metaclass__`

Instance Methods | [hide private]

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

__repr__(self, prefixes=[]) String definition of the object of ClassWithCollections object | 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`. Returned values are determined left, right, or from any tail depending on the constructor setting. | source code

Inherited from `misc.state.ClassWithCollections`: `__getattribute__`, `__new__`, `__setattr__`, `__str__`, `reset` Inherited from `object`: `__delattr__`, `__format__`, `__hash__`, `__reduce__`, `__reduce_ex__`, `__sizeof__`, `__subclasshook__`

Class Variables | [hide private]

| _ATTRIBUTE_COLLECTIONS = `['states']`
| tail = `property(fget= lambda x: x.__tail, fset= _setTail)`
Inherited from `misc.state.ClassWithCollections`: `_DEV__doc__`, `descr`

Properties | [hide private]

Inherited from `object`: `__class__`

Method Details | [hide private]

### __init__(self, tail='both', **kwargs)
(Constructor)

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Cheap initialization.

Overrides: object.__init__

### __repr__(self, prefixes=[])
(Representation operator)

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String definition of the object of ClassWithCollections object

Parameters:
  - `fullname` - Either to include full name of the module
  - `prefixes` - What other prefixes to prepend to list of arguments
Overrides: object.__repr__
  (inherited documentation)

### p(self, x, **kwargs)

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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.