Index _ | A | B | C | D | E | F | G | H | I | K | L | M | N | P | R | S | T | U | V _ __init__() (pymc_extras.deserialize.Deserializer method) (pymc_extras.distributions.BetaNegativeBinomial method) (pymc_extras.distributions.Chi method) (pymc_extras.distributions.DiscreteMarkovChain method) (pymc_extras.distributions.GeneralizedPoisson method) (pymc_extras.distributions.GenExtreme method) (pymc_extras.distributions.Maxwell method) (pymc_extras.distributions.Skellam method) (pymc_extras.distributions.transforms.PartialOrder method) (pymc_extras.model.transforms.autoreparam.VIP method) (pymc_extras.model_builder.ModelBuilder method) (pymc_extras.prior.Censored method) (pymc_extras.prior.Prior method) (pymc_extras.prior.Scaled method) (pymc_extras.prior.VariableFactory method) (pymc_extras.statespace.core.PyMCStateSpace method) (pymc_extras.statespace.core.PytensorRepresentation method) (pymc_extras.statespace.filters.KalmanSmoother method) (pymc_extras.statespace.filters.LinearGaussianStateSpace method) (pymc_extras.statespace.filters.SquareRootFilter method) (pymc_extras.statespace.filters.StandardFilter method) (pymc_extras.statespace.filters.UnivariateFilter method) (pymc_extras.statespace.models.BayesianETS method) (pymc_extras.statespace.models.BayesianSARIMAX method) (pymc_extras.statespace.models.BayesianVARMAX method) (pymc_extras.statespace.models.structural.Autoregressive method) (pymc_extras.statespace.models.structural.Cycle method) (pymc_extras.statespace.models.structural.FrequencySeasonality method) (pymc_extras.statespace.models.structural.LevelTrend method) (pymc_extras.statespace.models.structural.MeasurementError method) (pymc_extras.statespace.models.structural.TimeSeasonality method) A as_model() (in module pymc_extras) Autoregressive (class in pymc_extras.statespace.models.structural) B BayesianETS (class in pymc_extras.statespace.models) BayesianSARIMAX (class in pymc_extras.statespace.models) BayesianVARMAX (class in pymc_extras.statespace.models) BetaNegativeBinomial (class in pymc_extras.distributions) bspline_interpolation() (in module pymc_extras.utils.spline) C Censored (class in pymc_extras.prior) Chi (class in pymc_extras.distributions) create_dim_handler() (in module pymc_extras.prior) Cycle (class in pymc_extras.statespace.models.structural) D deserialize (pymc_extras.deserialize.Deserializer attribute) deserialize() (in module pymc_extras.deserialize) Deserializer (class in pymc_extras.deserialize) DiscreteMarkovChain (class in pymc_extras.distributions) E equivalent_models() (in module pymc_extras.utils.model_equivalence) F find_MAP() (in module pymc_extras.inference) fit() (in module pymc_extras.inference) fit_laplace() (in module pymc_extras.inference) fit_pathfinder() (in module pymc_extras.inference) FrequencySeasonality (class in pymc_extras.statespace.models.structural) G GeneralizedPoisson (class in pymc_extras.distributions) GenExtreme (class in pymc_extras.distributions) H handle_dims() (in module pymc_extras.prior) histogram_approximation() (in module pymc_extras.distributions) I is_type (pymc_extras.deserialize.Deserializer attribute) K KalmanSmoother (class in pymc_extras.statespace.filters) L LevelTrend (class in pymc_extras.statespace.models.structural) LinearGaussianStateSpace (class in pymc_extras.statespace.filters) M marginalize() (in module pymc_extras) Maxwell (class in pymc_extras.distributions) MeasurementError (class in pymc_extras.statespace.models.structural) model_table() (in module pymc_extras.printing) ModelBuilder (class in pymc_extras.model_builder) module pymc_extras.model.transforms pymc_extras.statespace pymc_extras.statespace.core pymc_extras.statespace.filters pymc_extras.statespace.models pymc_extras.statespace.models.structural N non_seq_names (pymc_extras.statespace.filters.SquareRootFilter attribute) (pymc_extras.statespace.filters.StandardFilter attribute) (pymc_extras.statespace.filters.UnivariateFilter attribute) P PartialOrder (class in pymc_extras.distributions.transforms) Prior (class in pymc_extras.prior) prior_from_idata() (in module pymc_extras.utils.prior) pymc_extras.model.transforms module pymc_extras.statespace module pymc_extras.statespace.core module pymc_extras.statespace.filters module pymc_extras.statespace.models module pymc_extras.statespace.models.structural module PyMCStateSpace (class in pymc_extras.statespace.core) PytensorRepresentation (class in pymc_extras.statespace.core) R R2D2M2CP() (in module pymc_extras.distributions) recover_marginals() (in module pymc_extras) register_deserialization() (in module pymc_extras.deserialize) register_tensor_transform() (in module pymc_extras.prior) S sample_prior() (in module pymc_extras.prior) Scaled (class in pymc_extras.prior) seq_names (pymc_extras.statespace.filters.SquareRootFilter attribute) (pymc_extras.statespace.filters.StandardFilter attribute) (pymc_extras.statespace.filters.UnivariateFilter attribute) Skellam (class in pymc_extras.distributions) SquareRootFilter (class in pymc_extras.statespace.filters) StandardFilter (class in pymc_extras.statespace.filters) T TimeSeasonality (class in pymc_extras.statespace.models.structural) U UnivariateFilter (class in pymc_extras.statespace.filters) V VariableFactory (class in pymc_extras.prior) VIP (class in pymc_extras.model.transforms.autoreparam) vip_reparametrize() (in module pymc_extras.model.transforms.autoreparam)