ssr.object {assist}R Documentation

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:

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.

Author(s)

Chunlei Ke chunlei\_ke@yahoo.com and Yuedong Wang yuedong@pstat.ucsb.edu

See Also

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


[Package assist version 3.1.7 Index]