prepare.likfit.glsm {geoRglm} | R Documentation |
This function takes an output object from glsm.mcmc
, and the corresponding data object of class
geodata
, and prepares the
variables needed for the Monte Carlo maximum likelihood function
likfit.glsm
.
prepare.likfit.glsm(mcmc.output, use.intensity = FALSE)
mcmc.output |
an output file from the function |
use.intensity |
logical. If |
An object containing the sample and the approximating density to be used in likfit.glsm
.
Ole F. Christensen OleF.Christensen@agrsci.dk,
Paulo J. Ribeiro Jr. Paulo.Ribeiro@est.ufpr.br.
likfit.glsm
for how to use the output from this function, and glsm.mcmc
for
generating the object mcmc.output
.
## Not run: data(p50) mcmc.4 <- mcmc.control(S.scale = 0.000035, n.iter = 1000) kr4 <- list(family="poisson", cov.pars=c(1,1), beta=0) condsim.4 <- glsm.mcmc(p50, mcmc.input = mcmc.4, model = kr4) mcmcobj.4 <- prepare.likfit.glsm(condsim.4) lik.4 <- likfit.glsm(mcmcobj.4, ini.phi = 10, fix.nugget.rel = TRUE) lik.4.spherical.nugget <- likfit.glsm(mcmcobj.4, ini.phi = 5.59, cov.model = "spherical", nugget.rel = 0.385) ## End(Not run)