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`

[Package *BayesianTools* version 0.1.7 Index]