This function generates global and local coefficients of multiscale SBF representation.

1 | ```
mracoef.comp(coef, site, netlab, eta)
``` |

`coef` |
coefficients of the initial SBF representation |

`site` |
grid points of observation sites in radian |

`netlab` |
vector of labels representing sub-networks |

`eta` |
bandwidth parameters for Poisson kernel |

`beta` |
global coefficients of multiscale SBF representation |

`gamma` |
local coefficients of multiscale SBF representation. That is the detailed coefficients of SW |

`norm` |
norms of SW coefficients for sub-network |

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.

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