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`