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mgcv (version 1.9-0)

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)

Value

A list of derivatives.

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.

Author

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