Description Usage Arguments Value

`dmnorm_nngp`

(and `rmnorm_nngp`

) calculate the approximate NNGP
likelihood for a fixed set of parameters (i.e., A and D matrices). Finally,
the distributions must be registered within `nimble`

.

1 | ```
rmnorm_nngp(n, mean, AD, nID, N, k)
``` |

`n` |
N-vector of data. |

`mean` |
N-vector with current values of the mean |

`AD` |
N x (k+1) matrix; the first k columns are the 'A' matrix, and the last column is the 'D' vector. |

`nID` |
N x k matrix of neighbor indices. |

`N` |
Scalar; number of data measurements. |

`k` |
Scalar; number of nearest neighbors. |

The NNGP approximate density.

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