mgcv: dDeta – R documentation

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dDeta

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.

Value

A list of derivatives.

Author(s)

Simon N. Wood <simon.wood@r-project.org>.

mgcv

Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

v1.8-35

GPL (>= 2)

Authors

Simon Wood <simon.wood@r-project.org>

Initial release