An object returned by the ssr function, inheriting from class ssr,
and representing a fitted smoothing spline model. Objects of this
class have methods for the generic functions predict, print and
summary.
The following components must be included in a legitimate ssr object:
a list containing an image of the ssr call that produced the object
estimated coefficients for the spline estimate
a vector representing the estimate smoothing parameters
fitted values of the unknown mean function
the distribution family used
estiamted parameters, if any, in corMatrix
estiamted parameters, if any, in varFunc
design matrix extracted from formula
a list of matrices representing reproducing kernels evaluated at design points.
working residuals from the fit.
equivalent degrees of freedom. It is calculated as the trace of the hat matrix.
a matrix representing the covariance matrix. It is NULL for iid data.
an object representing fits from dsidr/dmudr/gdsidr/gdmudr. See help files for dsidr/dmudr/gdsidr/gdmudr for more details.
a logical value, specifying if scaling is used.
Chunlei Ke chunlei_ke@yahoo.com and Yuedong Wang yuedong@pstat.ucsb.edu
ssr, predict.ssr, summary.ssr,
plot.ssr, dsidr, dmudr, gdsidr,
gdmudr