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Functions1,523 in github.com/derrynknife/SurPyval

⨍ Functions 1,523◇ Types & classes 102
Method__init__
(self, name)
surpyval/univariate/parametric/distributions/normal.py:19
Method__init__
(self, name)
surpyval/univariate/parametric/distributions/binomial.py:26
Method__init__
(self, name: str)
surpyval/univariate/parametric/distributions/exponential.py:20
Method__init__
(self, name)
surpyval/univariate/parametric/distributions/beta4.py:29
Method__init__
(self, name)
surpyval/univariate/parametric/distributions/rayleigh.py:9
Method__init__
(self, name)
surpyval/univariate/parametric/distributions/expo_weibull.py:10
Method__init__
(self, name)
surpyval/univariate/parametric/distributions/gumbel_lev.py:9
Method__init__
(self, kind: str, parameterization: str)
surpyval/univariate/regression/semi_parametric_regression_model.py:40
Method__init__
(self, distribution)
surpyval/univariate/regression/proportional_odds/proportional_odds_fitter.py:30
Method__init__
(self, distribution)
surpyval/univariate/regression/accelerated_failure_time/aft_fitter.py:40
Method__init__
(self, name, distribution, acc_model)
surpyval/univariate/regression/accelerated_failure_time/accelerated_failure_time.py:12
Method__init__
(self, keys)
surpyval/univariate/regression/proportional_hazards/cox_ph.py:43
Method__init__
( self, name, dist, phi, phi_name, phi_bounds, phi_par
surpyval/univariate/regression/proportional_hazards/proportional_hazards_fitter.py:24
Method__init__
( self, name: str, phi_param_map: dict[str, int], phi_bounds: tuple[tuple[int
surpyval/univariate/regression/accelerated_life/lifemodel.py:7
Method__init__
( self, kind, name, distribution, life_model, life_parameter,
surpyval/univariate/regression/accelerated_life/parameter_substitution.py:17
Method__init__
(self)
surpyval/univariate/regression/accelerated_life/linear.py:8
Method__init__
(self)
surpyval/univariate/regression/accelerated_life/power.py:8
Method__init__
(self)
surpyval/univariate/regression/accelerated_life/dual_power.py:8
Method__init__
(self)
surpyval/univariate/regression/accelerated_life/eyring.py:30
Method__init__
(self)
surpyval/univariate/regression/accelerated_life/general_log_linear.py:8
Method__init__
(self)
surpyval/univariate/regression/accelerated_life/exponential.py:30
Method__init__
Initialize the DualExponential_ class. The class is initialized with default parameter names and bounds for the dual exponen
surpyval/univariate/regression/accelerated_life/dual_exponential.py:33
Method__init__
(self)
surpyval/univariate/regression/accelerated_life/power_exponential.py:8
Method__init__
( self, statistic: float, p_value: float, alternative: str, test: str,
surpyval/recurrent/tests.py:83
Method__init__
(self)
surpyval/recurrent/parametric/hpp.py:51
Method__init__
(self)
surpyval/recurrent/parametric/crow_amsaa.py:45
Method__init__
(self)
surpyval/recurrent/parametric/duane.py:45
Method__init__
(self)
surpyval/recurrent/parametric/cox_lewis.py:45
Method__init__
( self, model, restoration, restoration_name, restoration_label,
surpyval/recurrent/renewal/renewal_model.py:42
Method__init__
(self, models)
surpyval/experimental/series.py:24
Method__init__
(self, models)
surpyval/experimental/parallel.py:22
Method__init__
( self, data: SurpyvalData, Z: NDArray, curr_depth: int, max_depth: in
surpyval/experimental/forest/node.py:27
Method__init__
(self, data: SurpyvalData, parametric: bool = True)
surpyval/experimental/forest/node.py:87
Method__init__
( self, data: SurpyvalData, Z: NDArray, max_depth: int | float = float("inf"),
surpyval/experimental/forest/tree.py:17
Method__init__
( self, data: SurpyvalData, Z: ArrayLike | NDArray, n_trees: int = 100,
surpyval/experimental/forest/forest.py:20
Method__init__
(self, x, c=None, n=None, t=None, xl=None, xr=None)
surpyval/multivariate/parametric/data.py:40
Method__init__
(self, copula, params, margins, data=None, how="given")
surpyval/multivariate/parametric/copula/copula_model.py:23
Method__iter__
(self)
surpyval/utils/surpyval_data.py:222
Method__iter__
(self)
surpyval/utils/recurrent_event_data.py:350
Method__len__
(self)
surpyval/utils/surpyval_data.py:219
Method__next__
(self)
surpyval/utils/recurrent_event_data.py:354
Method__or__
(self, other)
surpyval/experimental/series.py:7
Method__or__
(self, other)
surpyval/experimental/parallel.py:8
Method__repr__
(self)
surpyval/utils/surpyval_data.py:225
Method__repr__
(self)
surpyval/utils/recurrent_event_data.py:367
Method__repr__
(self)
surpyval/univariate/nonparametric/nonparametric.py:44
Method__repr__
(self)
surpyval/univariate/nonparametric/logrank.py:31
Method__repr__
(self)
surpyval/univariate/parametric/mixture_model.py:48
Method__repr__
(self)
surpyval/univariate/parametric/parametric.py:230
Method__repr__
(self)
surpyval/univariate/competing_risks/nonparametric/competing_risks.py:27
Method__repr__
(self)
surpyval/univariate/regression/parametric_regression_model.py:72
Method__repr__
(self)
surpyval/univariate/regression/semi_parametric_regression_model.py:51
Method__repr__
(self)
surpyval/recurrent/tests.py:103
Method__repr__
(self)
surpyval/recurrent/parametric/parametric_recurrence.py:36
Method__repr__
(self)
surpyval/recurrent/competing_risks/nonparametric/cause_specific_mcf.py:49
Method__repr__
(self)
surpyval/recurrent/regression/proportional_intensity.py:39
Method__repr__
(self)
surpyval/recurrent/renewal/renewal_model.py:71
Method__repr__
(self)
surpyval/multivariate/parametric/copula/copula_model.py:101
Method_bounds_transforms
(self)
surpyval/multivariate/parametric/copula/elliptical.py:69
Method_build_sampler
(model)
surpyval/recurrent/renewal/ara.py:86
Method_build_sampler
(model)
surpyval/recurrent/renewal/generalized_renewal.py:89
Method_build_sampler
(model)
surpyval/recurrent/renewal/generalized_one_renewal.py:64
Method_build_sampler
(model)
surpyval/recurrent/renewal/ari.py:74
Method_cb_func
(x_model)
surpyval/univariate/parametric/parametric.py:1147
Function_check_x_not_empty
(func)
surpyval/utils/__init__.py:32
Method_fit_joint
(self, margins, margin_models, data)
surpyval/multivariate/parametric/copula/archimedean.py:60
Method_fit_theta
(self, margin_models, data)
surpyval/multivariate/parametric/copula/archimedean.py:57
Method_init_theta
(self, dims)
surpyval/multivariate/parametric/copula/elliptical.py:79
Method_init_theta
(self, dims)
surpyval/multivariate/parametric/copula/archimedean.py:95
Method_init_theta
(self, dims)
surpyval/multivariate/parametric/copula/archimedean.py:118
Method_init_theta
(self, dims)
surpyval/multivariate/parametric/copula/archimedean.py:141
Method_mom
(self, x)
surpyval/univariate/parametric/distributions/lognormal.py:411
Method_mom
(self, x)
surpyval/univariate/parametric/distributions/uniform.py:421
Method_new_sequence_sampler
(self)
surpyval/recurrent/parametric/parametric_recurrence.py:52
Method_new_sequence_sampler
(self)
surpyval/recurrent/regression/proportional_intensity.py:143
Method_new_sequence_sampler
(self)
surpyval/recurrent/renewal/renewal_model.py:63
Method_parameter_initialiser
(self, x, c=None, n=None, t=None, offset=False)
surpyval/univariate/parametric/distributions/weibull.py:19
Method_parameter_initialiser
(self, x, c=None, n=None, t=None, offset=False)
surpyval/univariate/parametric/distributions/logistic.py:22
Method_parameter_initialiser
(self, x, c=None, n=None, t=None, offset=False)
surpyval/univariate/parametric/distributions/lognormal.py:36
Method_parameter_initialiser
(self, x, c=None, n=None, t=None, offset=False)
surpyval/univariate/parametric/distributions/uniform.py:22
Method_parameter_initialiser
(self, x, c=None, n=None, t=None, offset=False)
surpyval/univariate/parametric/distributions/gumbel.py:20
Method_parameter_initialiser
(self, x, c=None, n=None, t=None, offset=False)
surpyval/univariate/parametric/distributions/loglogistic.py:20
Method_parameter_initialiser
(self, x, c=None, n=None, t=None, offset=False)
surpyval/univariate/parametric/distributions/custom_distribution.py:102
Method_parameter_initialiser
(self, x, c=None, n=None, t=None, offset=False)
surpyval/univariate/parametric/distributions/normal.py:45
Method_parameter_initialiser
(self, x, c=None, n=None, t=None, offset=False)
surpyval/univariate/parametric/distributions/exponential.py:43
Method_parameter_initialiser
(self, x, c=None, n=None, t=None, offset=False)
surpyval/univariate/parametric/distributions/beta4.py:46
Method_parameter_initialiser
(self, x, c=None, n=None, t=None, offset=False)
surpyval/univariate/parametric/distributions/rayleigh.py:43
Method_parameter_initialiser
(self, x, c=None, n=None, t=None, offset=False)
surpyval/univariate/parametric/distributions/expo_weibull.py:26
Method_parameter_initialiser
(self, x, c=None, n=None, t=None, offset=False)
surpyval/univariate/parametric/distributions/gumbel_lev.py:20
Method_parameter_initialiser_dist
(self, x, c=None, n=None, t=None)
surpyval/univariate/regression/proportional_hazards/proportional_hazards_fitter.py:78
Method_parameter_initialiser_dist
(self, x, c=None, n=None, t=None)
surpyval/univariate/regression/accelerated_life/parameter_substitution.py:138
Method_parameter_names
(self)
surpyval/recurrent/parametric/parametric_recurrence.py:33
Method_parameter_names
(self)
surpyval/recurrent/regression/proportional_intensity.py:135
Method_parameter_names
(self)
surpyval/recurrent/renewal/renewal_model.py:66
Method_plot_x_bounds
Return (x_scale_min, x_scale_max) for probability plots. Returns None to auto-compute the bounds from the data.
surpyval/univariate/parametric/parametric_fitter.py:146
Method_plot_x_bounds
(self, x, params)
surpyval/univariate/parametric/distributions/uniform.py:430
Method_plot_x_bounds
(self, x, params)
surpyval/univariate/parametric/distributions/beta4.py:467
Method_postprocess_simulated_model
(self, model)
surpyval/recurrent/parametric/parametric_recurrence.py:64
Method_postprocess_simulated_model
(self, model)
surpyval/recurrent/regression/proportional_intensity.py:159
Methodaic
(self)
surpyval/recurrent/inference.py:86
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