createLikelihood: Creates a standardized likelihood class#'

In BayesianTools: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

Creates a standardized likelihood class#'

Description

Creates a standardized likelihood class#'

Usage

createLikelihood(
  likelihood,
  names = NULL,
  parallel = F,
  catchDuplicates = T,
  sampler = NULL,
  parallelOptions = NULL
)

Arguments

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 createBayesianSetup).

Author(s)

Florian Hartig

See Also

likelihoodIidNormal
likelihoodAR1

BayesianTools documentation built on Feb. 16, 2023, 8:44 p.m.