Description Usage Arguments Details Value References See Also

This function calculates generalized cross-validation for ridge regression.

1 | ```
ridge.diacomp(out.ls, obs, lam)
``` |

`out.ls` |
an object of class ‘lsfit’ |

`obs` |
observations |

`lam` |
smoothing parameter for penalized least squares method |

This function calculates generalized cross-validation for ridge regression.

`rsq` |
R-squared |

`gcv` |
generalized cross-validation for ridge regression. |

`df` |
degree of freedom |

Oh, H-S. (1999) Spherical wavelets and their statistical analysis with applications to meteorological data. Ph.D. Thesis, Department of Statistics, Texas A\&M University, College Station.

Li, T-H. (1999) Multiscale representation and analysis of spherical data by spherical wavelets.
*SIAM Journal on Scientific Computing*, **21**, 924–953.

Oh, H-S. and Li, T-H. (2004) Estimation of global temperature fields from scattered observations by
a spherical-wavelet-based spatially adaptive method. *Journal of the Royal Statistical Society
Ser.* B, **66**, 221–238.

SpherWave documentation built on April 14, 2017, 1:28 p.m.

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