Index

A

apply() (pyddm.models.overlay.Overlay method)

apply_trajectory() (pyddm.models.overlay.Overlay method)

B

Bound (class in pyddm.models.bound) BoundCollapsingExponential (class in pyddm.models.bound)

BoundCollapsingLinear (class in pyddm.models.bound) BoundConstant (class in pyddm.models.bound)

C

cache_by_conditions() (pyddm.models.loss.LossFunction method) can_solve_cn() (pyddm.model.Model method) can_solve_explicit() (pyddm.model.Model method) cdf() (pyddm.sample.Sample method) (pyddm.solution.Solution method) cdf_corr() (pyddm.sample.Sample method) (pyddm.solution.Solution method)

cdf_err() (pyddm.sample.Sample method) (pyddm.solution.Solution method) condition_combinations() (pyddm.sample.Sample method) condition_names() (pyddm.sample.Sample method) condition_values() (pyddm.sample.Sample method)

D

default() (pyddm.model.Fittable method) Dependence (class in pyddm.models.base) dependence_hit_boundary() (in module pyddm.functions)

display_model() (in module pyddm.functions) Drift (class in pyddm.models.drift) DriftConstant (class in pyddm.models.drift) DriftLinear (class in pyddm.models.drift)

E

evaluate() (pyddm.solution.Solution method)

evolution_strategy() (in module pyddm.functions)

F

fit() (pyddm.model.Model method) fit_adjust_model() (in module pyddm.functions) fit_model() (in module pyddm.functions) FitResult (class in pyddm.fitresult) FitResultEmpty (class in pyddm.fitresult)

Fittable (class in pyddm.model) Fitted (class in pyddm.model) flux() (pyddm.model.Model method) from_numpy_array() (pyddm.sample.Sample static method) from_pandas_dataframe() (pyddm.sample.Sample static method)

G

gddm() (in module pyddm.functions), [1] get_bound() (pyddm.models.bound.Bound method) get_dependence() (pyddm.model.Model method) get_drift() (pyddm.models.drift.Drift method) get_fit_result() (pyddm.model.Model method) get_flux() (pyddm.models.drift.Drift method) (pyddm.models.noise.Noise method)

get_IC() (pyddm.models.ic.InitialCondition method) get_matrix() (pyddm.models.drift.Drift method) (pyddm.models.noise.Noise method) get_model_loss() (in module pyddm.functions) get_model_parameter_names() (pyddm.model.Model method) get_model_parameters() (pyddm.model.Model method) get_model_type() (pyddm.model.Model method) get_noise() (pyddm.models.noise.Noise method)

H

has_analytical_solution() (pyddm.model.Model method)

hit_boundary() (in module pyddm.functions)

I

IC() (pyddm.model.Model method) ICArbitrary() (in module pyddm.models.ic) ICGaussian (class in pyddm.models.ic) ICPoint (class in pyddm.models.ic) ICPointRatio (class in pyddm.models.ic)

ICPointSourceCenter (class in pyddm.models.ic) ICRange (class in pyddm.models.ic) ICUniform (class in pyddm.models.ic) InitialCondition (class in pyddm.models.ic) items() (pyddm.sample.Sample method)

L

loss() (pyddm.models.loss.LossFunction method) LossBIC (class in pyddm.models.loss) LossFunction (class in pyddm.models.loss)

LossLikelihood (class in pyddm.models.loss) LossRobustBIC (class in pyddm.models.loss) LossRobustLikelihood (class in pyddm.models.loss) LossSquaredError (class in pyddm.models.loss)

M

mean_decision_time() (pyddm.sample.Sample method) (pyddm.solution.Solution method) mean_rt() (pyddm.sample.Sample method) (pyddm.solution.Solution method) Model (class in pyddm.model) models_close() (in module pyddm.functions) module pyddm.fitresult pyddm.functions pyddm.models.base pyddm.models.bound pyddm.models.drift pyddm.models.ic pyddm.models.loss pyddm.models.noise pyddm.models.overlay pyddm.sample pyddm.solution

N

Noise (class in pyddm.models.noise)

NoiseConstant (class in pyddm.models.noise) NoiseLinear (class in pyddm.models.noise)

O

Overlay (class in pyddm.models.overlay) OverlayChain (class in pyddm.models.overlay) OverlayExponentialMixture (class in pyddm.models.overlay) OverlayNonDecision (class in pyddm.models.overlay)

OverlayNonDecisionGamma (class in pyddm.models.overlay) OverlayNonDecisionUniform (class in pyddm.models.overlay) OverlayNone (class in pyddm.models.overlay) OverlayUniformMixture (class in pyddm.models.overlay)

P

parameters() (pyddm.model.Model method) pdf() (pyddm.sample.Sample method) (pyddm.solution.Solution method) pdf_corr() (pyddm.sample.Sample method) (pyddm.solution.Solution method) pdf_err() (pyddm.sample.Sample method) (pyddm.solution.Solution method) pdf_evolution() (pyddm.solution.Solution method) pdf_undec() (pyddm.solution.Solution method) prob() (pyddm.sample.Sample method) (pyddm.solution.Solution method) prob_correct() (pyddm.sample.Sample method) (pyddm.solution.Solution method) prob_correct_forced() (pyddm.sample.Sample method) (pyddm.solution.Solution method) prob_correct_sign() (pyddm.solution.Solution method) prob_error() (pyddm.sample.Sample method) (pyddm.solution.Solution method) prob_error_forced() (pyddm.sample.Sample method) (pyddm.solution.Solution method) prob_error_sign() (pyddm.solution.Solution method) prob_forced() (pyddm.sample.Sample method) (pyddm.solution.Solution method) prob_sign() (pyddm.solution.Solution method)

prob_undecided() (pyddm.sample.Sample method) (pyddm.solution.Solution method) pyddm.fitresult module pyddm.functions module pyddm.models.base module pyddm.models.bound module pyddm.models.drift module pyddm.models.ic module pyddm.models.loss module pyddm.models.noise module pyddm.models.overlay module pyddm.sample module pyddm.solution module

R

resample() (pyddm.solution.Solution method)

S

Sample (class in pyddm.sample) sample() (pyddm.solution.Solution method) set_model_parameters() (pyddm.model.Model method) set_N_cpus() (in module pyddm.functions) setup() (pyddm.models.loss.LossFunction method) show() (pyddm.model.Model method) simulate_trial() (pyddm.model.Model method) simulated_solution() (pyddm.model.Model method) Solution (class in pyddm.solution)

solve() (pyddm.model.Model method) solve_all_conditions() (in module pyddm.functions) solve_analytical() (pyddm.model.Model method) solve_numerical() (pyddm.model.Model method) solve_numerical_c() (pyddm.model.Model method) solve_numerical_cn() (pyddm.model.Model method) solve_numerical_explicit() (pyddm.model.Model method) solve_numerical_implicit() (pyddm.model.Model method) solve_partial_conditions() (in module pyddm.functions) subset() (pyddm.sample.Sample method)

T

t_domain() (pyddm.model.Model method) (pyddm.sample.Sample static method)

to_pandas_dataframe() (pyddm.sample.Sample method)

V

value() (pyddm.fitresult.FitResult method)

X

x_domain() (pyddm.model.Model method)