summary.ssanova {gss}R Documentation

Assessing Smoothing Spline ANOVA Fits

Description

summary.ssanova calculates various summaries of smoothing spline ANOVA fits.

Usage

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

Arguments

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

Value

summary.ssanova returns a list object of class "summary.ssanova" consisting of the following components. The entries kappa, cosines, and roughness are only calculated for diagnostics=TRUE.
call the fitting call.
method the smoothing parameter selection method.
fitted the fitted values.
residuals the residuals.
sigma the square root of the estimated variance of the random error.
r.squared the "fraction of variance explained by the model".
rss the residual sum of squares.
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 ssanova and the predicting function predict.ssanova.


[Package Contents]