FitControlsVinecop.__init__

FitControlsVinecop.__init__(self: pyvinecopulib.FitControlsVinecop, family_set: list[pyvinecopulib.BicopFamily] = [<BicopFamily.indep: 0>, <BicopFamily.gaussian: 1>, <BicopFamily.student: 2>, <BicopFamily.clayton: 3>, <BicopFamily.gumbel: 4>, <BicopFamily.frank: 5>, <BicopFamily.joe: 6>, <BicopFamily.bb1: 7>, <BicopFamily.bb6: 8>, <BicopFamily.bb7: 9>, <BicopFamily.bb8: 10>, <BicopFamily.tawn: 11>, <BicopFamily.tll: 12>], parametric_method: str = 'mle', nonparametric_method: str = 'quadratic', nonparametric_mult: float = 1.0, trunc_lvl: int = 18446744073709551615, tree_criterion: str = 'tau', threshold: float = 0.0, selection_criterion: str = 'bic', weights: numpy.ndarray[numpy.float64[m, 1]] = array([], dtype=float64), psi0: float = 0.9, preselect_families: bool = True, select_trunc_lvl: bool = False, select_threshold: bool = False, select_families: bool = True, show_trace: bool = False, num_threads: int = 1, mst_algorithm: str = 'prim') → None

Instantiates custom controls for fitting vine copula models.

Parameters:

  • family_set – The set of copula families to consider (if empty, then all families are included).

  • parametric_method – The fit method for parametric families; possible choices: "mle", "itau".

  • nonparametric_method – The fit method for the local-likelihood nonparametric family (TLLs); possible choices: "constant", "linear", "quadratic".

  • nonparametric_mult – A factor with which the smoothing parameters are multiplied.

  • trunc_lvl – Truncation level for truncated vines.

  • tree_criterion – The criterion for selecting the maximum spanning tree ("tau", "hoeffd", "rho", and "mcor" implemented so far).

  • threshold – For thresholded vines (0 = no threshold).

  • selection_criterion – The selection criterion ("loglik", "aic" or "bic").

  • weights – A vector of weights for the observations.

  • psi0 – Only for selection_criterion = "mbic", prior probability of non-independence.

  • preselect_families – Whether to exclude families before fitting based on symmetry properties of the data.

  • select_trunc_lvl – Whether the truncation shall be selected automatically.

  • select_threshold – Whether the threshold parameter shall be selected automatically.

  • select_families – Whether the families shall be selected automatically, or should the method simply update the parameters for the pair copulas already present in the model.

  • show_trace – Whether to show a trace of the building progress.

  • num_threads – Number of concurrent threads to use while fitting pair copulas within a tree; never uses more than the number of concurrent threads supported by the implementation.

  • mst_algorithm – The algorithm for building the maximum spanning tree ("prim" or "kruskal") during the tree-wise structure selection.