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assist (version 2.0)

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.

Arguments

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.

See Also

ssr, predict.ssr, summary.ssr, plot.ssr, dsidr, dmudr, gdsidr, gdmudr