Generate precision matrix of triangle graph (chain like network) following the set-up in Fan et al. (2009).

1 | ```
ChainOmega(p, sd = 1, norm.type = 2)
``` |

`p` |
dimension of generated precision matrix. |

`sd` |
seed for random number generation, default is 1. |

`norm.type` |
normalization methods of generated precision matrix, i.e., |

This function first construct a covariance matrix *Σ* that its (i,j) entry is
*exp (- | h_i - h_j | / 2)* with *h_1 < h_2 < … < h_p*.
The difference *h_i - h_{i+1}* is generated i.i.d. from Unif(0.5,1). See Fan et al. (2009)
for more details.

A precision matrix generated from triangle graph.

Will Wei Sun, Zhaoran Wang, Xiang Lyu, Han Liu, Guang Cheng.

1 2 3 4 5 6 7 8 9 |

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