createLikelihood {BayesianTools} | R Documentation |
Creates a standardized likelihood class#'
createLikelihood(likelihood, names = NULL, parallel = F, catchDuplicates = T, sampler = NULL, parallelOptions = NULL)
likelihood |
Log likelihood density |
names |
Parameter names (optional) |
parallel |
parallelization , either i) no parallelization –> F, ii) native R parallelization –> T / "auto" will select n-1 of your available cores, or provide a number for how many cores to use, or iii) external parallelization –> "external". External means that the likelihood is already able to execute parallel runs in form of a matrix with |
catchDuplicates |
Logical, determines whether unique parameter combinations should only be evaluated once. Only used when the likelihood accepts a matrix with parameter as columns. |
sampler |
sampler |
parallelOptions |
list containing two lists. First "packages" determines the R packages necessary to run the likelihood function. Second "objects" the objects in the global envirnment needed to run the likelihood function (for details see |
Florian Hartig
likelihoodIidNormal
likelihoodAR1