| family.gssanova {gss} | R Documentation |
Utility functions for fitting Smoothing Spline ANOVA models with non Gaussian responses.
mkdata.[family](y, eta, wt, offset) dev.resid.[family](y, eta, wt) dev.null.[family](y, wt, offset)
y |
Model response. |
eta |
Fitted values on link scale. |
wt |
Model weights. |
offset |
Model offset. |
family appearing in the function names is to be substituted
by binomial, poisson, Gamma,
inverse.gaussian, or nbinomial.
Only one link is implemented for each family. It is the
logit link for binomial, and the log link for
poisson, Gamma, and inverse.gaussian.
For nbinomial, the working parameter is the logit of the
probability p; see NegBinomial.
mkdata.x create the pseudo data to be used in iterated
penalized least squares fitting. dev.resid.x calculate the
deviance residuals. dev.null.x calculate the deviance of the
constant null model.
For binomial, the response can be specified either as two
columns of counts or as a column of sample proportion plus a column
of weights, as in glm.
For nbinomial, the response may be specified as two columns
with the second being the known sizes, or simply as a single column
with the common unknown size to be estimated through the maximum
likelihood method.