Provides tools for simulating spatially dependent predictors (continuous or binary),
which are used to generate scalar outcomes in a (generalized) linear model framework. Continuous
predictors are generated using traditional multivariate normal distributions or Gauss Markov random
fields with several correlation function approaches (e.g., see Rue (2001)