dDeta: Obtaining derivative w.r.t. linear predictor
In mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

dDeta

R Documentation

Obtaining derivative w.r.t. linear predictor

Description

INTERNAL function. Distribution families provide derivatives of the deviance and link w.r.t. mu = inv_link(eta). This routine converts these to the required derivatives of the deviance w.r.t. eta, the linear predictor.

Usage

dDeta(y, mu, wt, theta, fam, deriv = 0)

Arguments

`y`	vector of observations.
`mu`	if `eta` is the linear predictor, `mu = inv_link(eta)`. In a traditional GAM `mu=E(y)`.
`wt`	vector of weights.
`theta`	vector of family parameters that are not regression coefficients (e.g. scale parameters).
`fam`	the family object.
`deriv`	the order of derivative of the smoothing parameter score required.