| 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. |