Description Usage Arguments Details Value Author(s) References Examples

To compute an equvalent mearsure of partial correlation coeffients called *ψ* scores.

1 | ```
psical(iData,iMaxNei,ALPHA1=0.05,GRID=2,iteration=100)
``` |

` iData ` |
a |

` iMaxNei ` |
Neiborhood size in correlation screening step, default to |

` ALPHA1 ` |
The significance level of correlation screening. In general, a high significance level of correlation screening will lead to
a slightly large separator set |

`GRID` |
The number of components for the corrlation scores. The default value is 2. |

`iteration` |
Number of iterations for screening. The default value is 100. |

This is the function to calculate *ψ* scores and can be used in combining or detecting difference of two networks.

`score` |
Estimated |

Bochao Jia, Faming liangfmliang@purdue.edu

Liang, F., Song, Q. and Qiu, P. (2015). An Equivalent Measure of Partial Correlation Coefficients for High Dimensional Gaussian Graphical Models. J. Amer. Statist. Assoc., 110, 1248-1265.

Liang, F. and Zhang, J. (2008) Estimating FDR under general dependence using stochastic approximation. Biometrika, 95(4), 961-977.

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