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