contLikMCMCpara {euroformix} | R Documentation |
Parallelization on contLikMCMC using snow
contLikMCMCpara(mlefit, niter = 10000, delta = 10, maxxi = 1)
mlefit |
Fitted object using contLikMLE |
niter |
Number of samples in the MCMC-sampling. |
delta |
A numerical parameter to scale with the covariance function Sigma. Default is 2. Should be higher to obtain lower acception rate. |
maxxi |
Upper boundary of the xi-parameters |
The procedure is doing parallelization of the contLikMCMC function
ret A list (margL,posttheta,postlogL,logpX,accrat,Ubound ) where margL is Marginalized likelihood for hypothesis (model) given observed evidence, posttheta is the posterior samples from a MC routine, postlogL is sampled log-likelihood values, accrat is ratio of accepted samples. Ubound is upper boundary of parameters.
Oyvind Bleka
Craiu,R.V. and Rosenthal, J.S. (2014). Bayesian Computation Via Markov Chain Monte Carlo. Annu. Rev. Stat. Appl., 1,179-201.