varMu: Variance function evaluated at expected value

In kernDeepStackNet: Kernel Deep Stacking Networks

Description

Evaluates the variance function at the expected value. Only implemented for Gaussian distribution.

Usage

varMu(mu)

Arguments

mu	Expected values conditional on the design matrix. These are the fitted values of the model (numeric vector).

Value

Variance function of exponential family evaluated at the fitted values (numeric vector).

Note

This function is not intended to be called directly by the user. Should only be used by experienced users, who want to customize the model.

Author(s)

Thomas Welchowski [e-mail]

References

Simon N. Wood, (2006), Generalized Additive Models: An Introduction with R, Taylor \& Francis Group LLC

See Also

calcTrA, calcWdiag, gDerivMu

kernDeepStackNet documentation built on May 2, 2019, 8:16 a.m.