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. |