algorithms.statistics.models.family.varfuncs
Binomial
Power
VarianceFunction
algorithms.statistics.models.family.links
algorithms.statistics.models.glm
Inheritance diagram for nipy.algorithms.statistics.models.family.varfuncs:
nipy.algorithms.statistics.models.family.varfuncs
nipy.algorithms.statistics.models.family.varfuncs.
Bases: object
object
Binomial variance function
p = mu / n; V(mu) = p * (1 - p) * n
n – number of trials in Binomial
__init__
Initialize self. See help(type(self)) for accurate signature.
clean
tol
Power variance function:
V(mu) = fabs(mu)**power
power – exponent used in power variance function
Variance function that relates the variance of a random variable to its mean. Defaults to 1.