generate_W: Generate a random spatial weight matrix.
In ProbitSpatial: Probit with Spatial Dependence, SAR, SEM and SARAR Models

Description Usage Arguments Details Value See Also Examples

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.