Generate a spatial weight matrix of given size and number of nearest neighbors from randomly-located observations on the unit square.

1 | ```
generate_W(n, nneigh, seed=123)
``` |

`n` |
the size of the matrix. |

`nneigh` |
the number of nearest neighbors. |

`seed` |
an integer to set the seed for the random generated locations. |

The output matrix has zero diagonal and it is row-standardised.
The `n`

observations are allocated randomly in the unit square.
For each observation, the `nneigh`

closests observations w.r.t. the
Euclidean distance are assigned with a weight equal to 1/`nneigh`

.

a matrix of class `dgCMatrix`

(sparse matrix).

`sim_binomial_probit`

.

1 2 | ```
W <- generate_W(100,4,seed=12)
image(W)
``` |

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