Description Usage Arguments Value Author(s) References Examples

Calculate the adjusted covriance matrix and precision matrix given the network structure from high dimesional dataset.

1 |

` data ` |
A |

` struct ` |
A preacquired adjacency matrix |

` tol ` |
Tolerant value, default is 10^-5 |

A list of two elements:

` COV ` |
Adjusted covriance matrix |

` PRE ` |
Precision matrix |

Bochao Jiajbc409@gmail.com & Runmin Shi

Friedman, J., Hastie, T., and Tibshirani, R. (2001). The elements of statistical learning (Vol. 1). Springer, Berlin: Springer series in statistics.

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