| ssr.object {assist} | R Documentation |
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:
call |
a list containing an image of the ssr call that produced the object |
coef |
estimated coefficients for the spline estimate |
lambda |
a vector representing the estimate smoothing parameters |
fitted |
fitted values of the unknown mean function |
family |
the distribution family used |
cor.est |
estiamted parameters, if any, in corMatrix |
var.est |
estiamted parameters, if any, in varFunc |
s |
design matrix extracted from formula |
q |
a list of matrices representing reproducing kernels evaluated at design points. |
residuals |
working residuals from the fit. |
df |
equivalent degrees of freedom. It is calculated as the trace of the hat matrix. |
weight |
a matrix representing the covariance matrix. It is NULL for iid data. |
rkpk.obj |
an object representing fits from dsidr/dmudr/gdsidr/gdmudr. See help files for dsidr/dmudr/gdsidr/gdmudr for more details. |
scale |
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