Calculate various summaries of smoothing spline ANOVA fits.
# S3 method for ssanova
summary(object, diagnostics=FALSE, ...)
# S3 method for ssanova0
summary(object, diagnostics=FALSE, ...)
# S3 method for ssanova9
summary(object, diagnostics=FALSE, ...)summary.ssanova returns a list object of class
"summary.ssanova" consisting of the following elements.
The entries pi, kappa, cosines, and
roughness are only calculated if diagnostics=TRUE; see
the reference below for details concerning the diagnostics.
Fitting call.
Method for smoothing parameter selection.
Fitted values.
Residuals.
Assumed or estimated error standard deviation.
Fraction of "explained variance" by the fitted model.
Residual sum of squares.
Roughness penalty associated with the fit.
"Percentage decomposition" of "explained variance" into model terms.
Concurvity diagnostics for model terms. Virtually the square roots of variance inflation factors of a retrospective linear model.
Cosine diagnostics for practical significance of model terms.
Percentage decomposition of the roughness penalty
penalty into model terms.
Object of class "ssanova".
Flag indicating if diagnostics are required.
Ignored.
Gu, C. (1992), Diagnostics for nonparametric regression models with additive terms. Journal of the American Statistical Association, 87, 1051--1058.
Fitting functions ssanova, ssanova0 and
methods predict.ssanova,
project.ssanova, fitted.ssanova.