algorithms.statistics.models.family.varfuncs

Module: algorithms.statistics.models.family.varfuncs

Inheritance diagram for nipy.algorithms.statistics.models.family.varfuncs:

Classes

Binomial

class nipy.algorithms.statistics.models.family.varfuncs.Binomial(n=1)

Bases: object

Binomial variance function

p = mu / n; V(mu) = p * (1 - p) * n

INPUTS:

n – number of trials in Binomial

Methods

__call__(mu)	Binomial variance function
clean(p)

__init__(n=1)

clean(p)

tol = 1e-10

Power

class nipy.algorithms.statistics.models.family.varfuncs.Power(power=1.0)

Bases: object

Power variance function:

V(mu) = fabs(mu)**power

INPUTS:

power – exponent used in power variance function

Methods

__call__(mu)

Power variance function

__init__(power=1.0)

VarianceFunction

class nipy.algorithms.statistics.models.family.varfuncs.VarianceFunction

Bases: object

Variance function that relates the variance of a random variable to its mean. Defaults to 1.

Methods

__call__(mu)

Default variance function

__init__()

x.__init__(...) initializes x; see help(type(x)) for signature