CAR.simLM               Simulate samples from a CAR model.
OptimMCL                Iterative procedure for maximising the Monte
                        Carlo likelihood
OptimMCL.HCAR           Iterative procedure for maximising the Monte
                        Carlo likelihood of the hierachical conditional
                        auto-regressive models.
ScotCancer              Scottish lip cancer dataset from Clayton and
                        Kaldor (1987)
loglik.dCAR             Likelihood computing and parameter estimation
                        for a direct CAR model.
mcl.HCAR                The Monte Carlo likelihood function of the HCAR
                        model.
mcl.dCAR                Monte Carlo likelihood calculation for direct
                        CAR models.
mcl.glm                 Monte Carlo likelihood calculation for glm with
                        latent CAR variables.
mclcar-package          Estimating Conditional Auto-Regressive (CAR)
                        Models using Monte Carlo Likelihood Methods
plot.rsmMCL             Plot the fitted response surfaces
postZ                   Sampling the CAR latent variables given the
                        Binomial or Poisson observations in glm models.
rsmMCL                  Response surface method for maximising the
                        Monte Carlo likelihood
scotplot                Scottish lip cancer dataset from Clayton and
                        Kaldor (1987) with geo information.
sim.HCAR                Simulate samples from a HCAR model.
summary.OptimMCL        Summary the output from the iterative procedure
                        of maximising the Monte Carlo likelihood.
summary.OptimMCL.HCAR   Summary the output from the iterative procedure
                        of maximising the Monte Carlo likelihood.
summary.rsmMCL          Summary the output from the response surface
                        method of maximising the Monte Carlo likelihood
