Index _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W _ __call__() (constant method) (ConstantParameter method) (Distribution method) (Kernel method) (Parameter method) __mul__() (constant method) (ConstantParameter method) (Distribution method) (Kernel method) (Parameter method) __pow__() (constant method) (ConstantParameter method) (Distribution method) (Kernel method) (Parameter method) A AIC() (in module pykelihood.metrics) Alpha (class in pykelihood.distributions.scipy) Anglit (class in pykelihood.distributions.scipy) Arcsine (class in pykelihood.distributions.scipy) Argus (class in pykelihood.distributions.scipy) B Beta (class in pykelihood.distributions.custom) Betaprime (class in pykelihood.distributions.scipy) BIC() (in module pykelihood.metrics) bootstrap() (in module pykelihood.metrics) Bradford (class in pykelihood.distributions.scipy) Brier_score() (in module pykelihood.metrics) Burr (class in pykelihood.distributions.scipy) Burr12 (class in pykelihood.distributions.scipy) C categories_qualitative() (in module pykelihood.kernels) Cauchy (class in pykelihood.distributions.scipy) cdf() (Distribution method), [1] (TruncatedDistribution method) Chi (class in pykelihood.distributions.scipy) Chi2 (class in pykelihood.distributions.scipy) confidence_interval() (Profiler method) confidence_interval_bs() (Profiler method) constant (class in pykelihood.kernels) ConstantParameter (class in pykelihood.parameters) Cosine (class in pykelihood.distributions.scipy) crps() (in module pykelihood.metrics) Crystalball (class in pykelihood.distributions.scipy) D Dgamma (class in pykelihood.distributions.scipy) Distribution (class in pykelihood.distributions) DparetoLognorm (class in pykelihood.distributions.scipy) Dweibull (class in pykelihood.distributions.scipy) E ensure_parametrized() (in module pykelihood.parameters) Erlang (class in pykelihood.distributions.scipy) Expon (class in pykelihood.distributions.scipy) Exponential (class in pykelihood.distributions.custom) exponential() (in module pykelihood.kernels) exponential_linear_regression() (in module pykelihood.kernels) exponential_ratio() (in module pykelihood.kernels) Exponnorm (class in pykelihood.distributions.scipy) Exponpow (class in pykelihood.distributions.scipy) Exponweib (class in pykelihood.distributions.scipy) F F (class in pykelihood.distributions.scipy) Fatiguelife (class in pykelihood.distributions.scipy) Fisk (class in pykelihood.distributions.scipy) fit() (Distribution method), [1] (TruncatedDistribution method) fit_instance() (Distribution method) flattened_param_dict (constant property) (ConstantParameter property) (Distribution property) (Kernel property) (Parameter property) flattened_params (constant property) (ConstantParameter property) (Distribution property) (Kernel property) (Parameter property) Foldcauchy (class in pykelihood.distributions.scipy) Foldnorm (class in pykelihood.distributions.scipy) G Gamma (class in pykelihood.distributions.custom) Gausshyper (class in pykelihood.distributions.scipy) Genexpon (class in pykelihood.distributions.scipy) Genextreme (class in pykelihood.distributions.scipy) Gengamma (class in pykelihood.distributions.scipy) Genhalflogistic (class in pykelihood.distributions.scipy) Genhyperbolic (class in pykelihood.distributions.scipy) Geninvgauss (class in pykelihood.distributions.scipy) Genlogistic (class in pykelihood.distributions.scipy) Gennorm (class in pykelihood.distributions.scipy) Genpareto (class in pykelihood.distributions.scipy) GEV (class in pykelihood.distributions.custom) Gibrat (class in pykelihood.distributions.scipy) Gompertz (class in pykelihood.distributions.scipy) GPD (class in pykelihood.distributions.custom) GumbelL (class in pykelihood.distributions.scipy) GumbelR (class in pykelihood.distributions.scipy) H Halfcauchy (class in pykelihood.distributions.scipy) Halfgennorm (class in pykelihood.distributions.scipy) Halflogistic (class in pykelihood.distributions.scipy) Halfnorm (class in pykelihood.distributions.scipy) hawkes() (in module pykelihood.kernels) Hypsecant (class in pykelihood.distributions.scipy) I inverse_cdf() (Distribution method), [1] Invgamma (class in pykelihood.distributions.scipy) Invgauss (class in pykelihood.distributions.scipy) Invweibull (class in pykelihood.distributions.scipy) Irwinhall (class in pykelihood.distributions.scipy) isf() (Distribution method), [1] (TruncatedDistribution method) iter_children() (constant method) (ConstantParameter method) (Distribution method) (Kernel method) (Parameter method) J JfSkewT (class in pykelihood.distributions.scipy) Johnsonsb (class in pykelihood.distributions.scipy) Johnsonsu (class in pykelihood.distributions.scipy) K Kappa3 (class in pykelihood.distributions.scipy) Kappa4 (class in pykelihood.distributions.scipy) Kernel (class in pykelihood.kernels) Ksone (class in pykelihood.distributions.scipy) Kstwo (class in pykelihood.distributions.scipy) Kstwobign (class in pykelihood.distributions.scipy) L Landau (class in pykelihood.distributions.scipy) Laplace (class in pykelihood.distributions.scipy) LaplaceAsymmetric (class in pykelihood.distributions.scipy) lb_shape() (GEV method) Levy (class in pykelihood.distributions.scipy) LevyL (class in pykelihood.distributions.scipy) LevyStable (class in pykelihood.distributions.scipy) likelihood() (in module pykelihood.metrics) linear() (in module pykelihood.kernels) linear_regression() (in module pykelihood.kernels) log_likelihood() (in module pykelihood.metrics) logcdf() (Distribution method), [1] Loggamma (class in pykelihood.distributions.scipy) Logistic (class in pykelihood.distributions.scipy) Loglaplace (class in pykelihood.distributions.scipy) Lognorm (class in pykelihood.distributions.scipy) logpdf() (Distribution method), [1] logsf() (Distribution method), [1] Loguniform (in module pykelihood.distributions.scipy) Lomax (class in pykelihood.distributions.scipy) M Maxwell (class in pykelihood.distributions.scipy) Mielke (class in pykelihood.distributions.scipy) module pykelihood.distributions.custom pykelihood.distributions.scipy Moyal (class in pykelihood.distributions.scipy) N Nakagami (class in pykelihood.distributions.scipy) Ncf (class in pykelihood.distributions.scipy) Nct (class in pykelihood.distributions.scipy) Ncx2 (class in pykelihood.distributions.scipy) Norm (class in pykelihood.distributions.scipy) Normal (in module pykelihood.distributions.scipy) Norminvgauss (class in pykelihood.distributions.scipy) O opposite_log_likelihood() (in module pykelihood.metrics) optimisation_param_dict (constant property) (ConstantParameter property) (Distribution property) (Kernel property) (Parameter property) optimisation_params (constant property) (ConstantParameter property) (Distribution property) (Kernel property) (Parameter property) optimum (Profiler property) P param_dict (constant property) (ConstantParameter property) (Distribution property) (Kernel property) (Parameter property) param_dict_to_vec() (Distribution class method) param_mapping() (constant method) (ConstantParameter method) (Distribution method) (Kernel method) (Parameter method) Parameter (class in pykelihood.parameters) params (constant property) (ConstantParameter property) (Distribution property) (Kernel property) (Parameter property) params_names (Beta property) (constant property) (ConstantParameter property) (Distribution property) (Exponential property) (Gamma property) (GEV property) (GPD property) (Kernel property) (Parameter property) (Pareto property) (TruncatedDistribution property) Pareto (class in pykelihood.distributions.custom) pdf() (Distribution method), [1] (TruncatedDistribution method) Pearson3 (class in pykelihood.distributions.scipy) polynomial() (in module pykelihood.kernels) polynomial_regression() (in module pykelihood.kernels) Powerlaw (class in pykelihood.distributions.scipy) Powerlognorm (class in pykelihood.distributions.scipy) Powernorm (class in pykelihood.distributions.scipy) pp_l1_distance() (in module pykelihood.metrics) pp_l2_distance() (in module pykelihood.metrics) ppf() (Distribution method), [1] (TruncatedDistribution method) Profiler (class in pykelihood.profiler) profiles (Profiler property) pykelihood.distributions.custom module pykelihood.distributions.scipy module Q qq_l1_distance() (in module pykelihood.metrics) qq_l2_distance() (in module pykelihood.metrics) quantile_score() (in module pykelihood.metrics) R Rayleigh (class in pykelihood.distributions.scipy) Rdist (class in pykelihood.distributions.scipy) Recipinvgauss (class in pykelihood.distributions.scipy) Reciprocal (class in pykelihood.distributions.scipy) RelBreitwigner (class in pykelihood.distributions.scipy) Rice (class in pykelihood.distributions.scipy) rvs() (Distribution method), [1] (TruncatedDistribution method) S Semicircular (class in pykelihood.distributions.scipy) sf() (Distribution method), [1] Skewcauchy (class in pykelihood.distributions.scipy) Skewnorm (class in pykelihood.distributions.scipy) standard_mle (Profiler property) StudentizedRange (class in pykelihood.distributions.scipy) T T (class in pykelihood.distributions.scipy) test_profile_likelihood() (Profiler method) Trapezoid (class in pykelihood.distributions.scipy) Trapz (in module pykelihood.distributions.scipy) Triang (class in pykelihood.distributions.scipy) trigonometric() (in module pykelihood.kernels) TruncatedDistribution (class in pykelihood.distributions.custom) Truncexpon (class in pykelihood.distributions.scipy) Truncnorm (class in pykelihood.distributions.scipy) Truncpareto (class in pykelihood.distributions.scipy) TruncweibullMin (class in pykelihood.distributions.scipy) Tukeylambda (class in pykelihood.distributions.scipy) U ub_shape() (GEV method) Uniform (class in pykelihood.distributions.scipy) V value (ConstantParameter property) (Parameter property) Vonmises (class in pykelihood.distributions.scipy) VonmisesLine (in module pykelihood.distributions.scipy) W Wald (class in pykelihood.distributions.scipy) WeibullMax (class in pykelihood.distributions.scipy) WeibullMin (class in pykelihood.distributions.scipy) with_covariate() (constant method) (Kernel method) with_params() (constant method) (ConstantParameter method) (Distribution method) (Kernel method) (Parameter method) wrap_scipy_distribution() (in module pykelihood.distributions.scipy) Wrapcauchy (class in pykelihood.distributions.scipy)