# 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

  __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

  __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.

  __init__(*args, **kwargs)