car_precision_mat: Generate a row-standardised CAR precision matrix
In Tveten/capacc: Collective and point anomalies in cross-correlated data

Generate a row-standardised CAR precision matrix

car_precision_mat(
  nbs = banded_neighbours(2, 10),
  rho = 0.5,
  sigma = 1,
  standardised = TRUE,
  sparse = TRUE
)

`nbs`	A list where nbs[[i]] is a vector with the neighbours of variable i. The functions `banded_neighbours`, `lattice_neighbours`, `random_neighbours` can be used to generate such lists of neighbours for banded, lattice and random adjacency structures.
`rho`	The parameter in the row-standardised CAR model.
`sigma`	The standard deviation of each variables. Defaults to 1.
`standardised`	A logical value for whether the output precision matrix should be stadnardised so that its inverse is a correlation matrix.
`sparse`	A logical value specifying whether the output should be a sparse matrix from the Matrix package (TRUE) or not (FALSE).