| summary.gssanova(gss) | R Documentation |
summary.gssanova calculates various summaries of smoothing
spline ANOVA fits with non Gaussian responses.
summary[.gssanova](obj, diagnostics=FALSE)
obj |
an object of class "gssanova". |
diagnostics |
a logical flag. |
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. |
Chong Gu, chong@stat.purdue.edu
The model fitting function gssanova and the predicting
function predict.ssanova.