Estimating Conditional Auto-Regressive (CAR) Models using Monte Carlo Likelihood Methods

---

Documentation for package ‘mclcar’ version 0.2-0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

mclcar-package	Estimating Conditional Auto-Regressive (CAR) Models using Monte Carlo Likelihood Methods
Avar.lik.dCAR	Monte Carlo likelihood calculation for direct CAR models.
CAR.simGLM	Simulate samples from a CAR model.
CAR.simLM	Simulate samples from a CAR model.
CAR.simTorus	Simulate samples from a CAR model.
CAR.simWmat	Simulate samples from a CAR model.
get.beta.glm	Monte Carlo likelihood calculation for glm with latent CAR variables.
get.beta.lm	Likelihood computing and parameter estimation for a direct CAR model.
loglik.dCAR	Likelihood computing and parameter estimation for a direct CAR model.
mcl.dCAR	Monte Carlo likelihood calculation for direct CAR models.
mcl.glm	Monte Carlo likelihood calculation for glm with latent CAR variables.
mcl.HCAR	The Monte Carlo likelihood function of the HCAR model.
mcl.prep.dCAR	Monte Carlo likelihood calculation for direct CAR models.
mcl.prep.glm	Monte Carlo likelihood calculation for glm with latent CAR variables.
mcl.profile.dCAR	Monte Carlo likelihood calculation for direct CAR models.
mcl.profile.glm	Monte Carlo likelihood calculation for glm with latent CAR variables.
mclcar	Estimating Conditional Auto-Regressive (CAR) Models using Monte Carlo Likelihood Methods
mple.dCAR	Likelihood computing and parameter estimation for a direct 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.
ploglik.dCAR	Likelihood computing and parameter estimation for a direct CAR model.
plot.rsmMCL	Plot the fitted response surfaces
postZ	Sampling the CAR latent variables given the Binomial or Poisson observations in glm models.
ranef.HCAR	Summary the output from the iterative procedure of maximising the Monte Carlo likelihood.
rsmMCL	Response surface method for maximising the Monte Carlo likelihood
ScotCancer	Scottish lip cancer dataset from Clayton and Kaldor (1987)
scotplot	Scottish lip cancer dataset from Clayton and Kaldor (1987) with geo information.
sigmabeta	Likelihood computing and parameter estimation for a direct CAR model.
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
vmle.dCAR	Monte Carlo likelihood calculation for direct CAR models.
vmle.glm	Monte Carlo likelihood calculation for glm with latent CAR variables.