summary.gssanova {gss}R Documentation

Assessing Smoothing Spline ANOVA Fits with Non Gaussian Responses

Description

summary.gssanova calculates various summaries of smoothing spline ANOVA fits with non Gaussian responses.

Usage

summary[.gssanova](obj, diagnostics=FALSE)

Arguments

obj an object of class "gssanova".
diagnostics a logical flag.

Value

summary.gssanova returns a list object of class "summary.gssanova" consisting of the following components. The entries kappa, cosines, and roughness are only calculated for diagnostics=TRUE.
call the fitting call.
family the error distribution.
method the smoothing parameter selection method.
dispersion the assumed or estimated dispersion parameter.
iter the number of performance-oriented iterations performed.
fitted the fitted values on the scale of link.
residuals the working residuals.
rss the residual sum of squares.
dev.resid the deviance residuals.
deviance the deviance of the fit.
dev.null the deviance of the null model.
penalty the penalty associated with the fit.
kappa the concurvity diagnostics for model terms. These are virtually the variance inflation factors of a retrospective linear model.
cosines the cosine diagnostics for practical significance of the model terms.
roughness the roughness of individual model terms as percentages of the overall roughness, which is proportional to penalty.

Author(s)

Chong Gu, chong@stat.purdue.edu

See Also

The model fitting function gssanova and the predicting function predict.ssanova.


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