This function calculates global thresholded SW coefficients.

1 | ```
mrs.comp.thresh.global(coef, site, netlab, eta, K, lam, type)
``` |

`coef` |
coefficients of multi-scale SBF's |

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

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

`eta` |
bandwidth parameters for Poisson kernel |

`K` |
the number of resolution levels to be thresholded in the decomposition |

`lam` |
thresholding value |

`type` |
the type of thresholding. This can be ‘"universal"’, ‘"probability"’, ‘"fdr"’, ‘"Lorentz"’ and ‘"sure"’. |

For selective reconstruction, this function performs thresholding SW coefficients according to several approaches.

`talpha` |
global thresholded SW coefficients |

Donoho, D.~L. and Johnstone, I.~M. (1994) Ideal spatial
adaptation by wavelet shrinkage. *Biometrika*, **81**,
425–455.

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.

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.

`mrs.comp.thresh.level`

, `mrsfield.comp.thresh.global`

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