ssr.object: A fitted ssr Object
Description
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
.Value
- The following components must be included in a legitimate
ssr
object: - calla list containing an image of the
ssr
call that produced the object - coefestimated coefficients for the spline estimate
- lambdaa vector representing the estimate smoothing parameters
- fittedfitted values of the unknown mean function
- familythe distribution family used
- cor.estestiamted parameters, if any, in corMatrix
- var.estestiamted parameters, if any, in varFunc
- sdesign matrix extracted from
formula
- qa list of matrices representing reproducing kernels evaluated at design points.
- residualsworking residuals from the fit.
- dfequivalent degrees of freedom. It is calculated as the trace of the hat matrix.
- weighta matrix representing the covariance matrix. It is NULL for iid data.
- rkpk.objan object representing fits from dsidr/dmudr/gdsidr/gdmudr. See help files
for dsidr/dmudr/gdsidr/gdmudr for more details.
- scalea logical value, specifying if scaling is used.