pymixef¶
- pymixef package
ApproximationSensitivityResultApproximationSensitivityResult.tableApproximationSensitivityResult.fitsApproximationSensitivityResult.failuresApproximationSensitivityResult.baselineApproximationSensitivityResult.settingsApproximationSensitivityResult.materialityApproximationSensitivityResult.failed_scenariosApproximationSensitivityResult.successful_scenariosApproximationSensitivityResult.to_dict()
BootstrapResultBoundaryRecordComparisonResultCompatibilityErrorConvergenceReportConvergenceReport.statusConvergenceReport.optimizer_terminatedConvergenceReport.optimizer_messageConvergenceReport.iterationsConvergenceReport.objective_evaluationsConvergenceReport.gradient_evaluationsConvergenceReport.scaled_gradient_inf_normConvergenceReport.parameter_step_normConvergenceReport.hessianConvergenceReport.boundariesConvergenceReport.conditional_mode_failuresConvergenceReport.ode_failuresConvergenceReport.warningsConvergenceReport.engine_metricsConvergenceReport.assess()ConvergenceReport.from_dict()ConvergenceReport.to_dict()ConvergenceReport.trustworthy
CovarianceErrorDataErrorEngineCompatibilityErrorExecutionPlanFitResultFitResult.model_irFitResult.parametersFitResult.unconstrained_parametersFitResult.parameter_covarianceFitResult.fitted_valuesFitResult.residualsFitResult.random_effectsFitResult.objectiveFitResult.log_likelihoodFitResult.methodFitResult.engineFitResult.convergenceFitResult.manifestFitResult.warningsFitResult.diagnostic_dataFitResult.extraFitResult.result_schema_versionFitResult.diagnostic()FitResult.from_dict()FitResult.load()FitResult.n_observationsFitResult.prediction()FitResult.residual_diagnostics()FitResult.save()FitResult.simulate()FitResult.successFitResult.summary()FitResult.to_dict()FitResult.vpc()
FixedFormulaErrorGroupInfluenceResultHessianDiagnosticsIRValidationErrorIRVersionErrorMaturityModelModelIRModelIR.schema_versionModelIR.nameModelIR.sourceModelIR.formulaModelIR.responseModelIR.familyModelIR.fixed_effectsModelIR.random_effectsModelIR.predictorsModelIR.likelihoodsModelIR.covariance_structuresModelIR.state_equationsModelIR.eventsModelIR.parametersModelIR.transformsModelIR.priorsModelIR.outputsModelIR.data_schemaModelIR.estimatorModelIR.metadataModelIR.canonical_json()ModelIR.diff()ModelIR.from_dict()ModelIR.from_json()ModelIR.hashModelIR.semantic_hashModelIR.semantically_equal()ModelIR.to_dict()ModelIR.to_json()
PatternMixtureResultPluginErrorPyMixEFErrorRandomRandomStreamManagerReproducibilityClassResponseRunManifestRunManifest.manifest_schema_versionRunManifest.package_versionRunManifest.created_at_utcRunManifest.model_ir_hashRunManifest.data_hashRunManifest.engineRunManifest.methodRunManifest.settingsRunManifest.seedsRunManifest.reproducibility_classRunManifest.environmentRunManifest.elapsed_secondsRunManifest.output_hashesRunManifest.sourceRunManifest.convergenceRunManifest.warningsRunManifest.capture()RunManifest.from_dict()RunManifest.to_dict()RunManifest.with_outputs()
UnsupportedCapabilityErrorValidationErrorWarningRecordapproximation_sensitivity()bootstrap()change_impact()create_validation_bundle()diff_models()fit()get_capability()group_influence()iter_capabilities()load()pattern_mixture_adjust()random_streams()render_report()traceability_matrix()verify_validation_bundle()- Subpackages
- pymixef.backends package
- pymixef.interoperability package
- pymixef.pharmacometrics package
AdditiveErrorAuditEntryCanonicalEventCombinedErrorCompiledModelConditionalModeErrorConditionalModeResultConditionalObjectiveDSLValidationErrorDifferentialEquationDoseDoseAmountStatusEstimationErrorEtaEventSnapshotEventTableEventTypeEventValidationErrorExprLaplacePopulationResultLogNormalErrorModelDefinitionModelValidationODEContextODESimulationErrorODESimulationResultODESolverMetadataObjectiveComponentsObservationObservationErrorOneCompartmentPKPKValidationErrorParamPowerErrorProportionalErrorSAEMControlSAEMErrorSAEMProblemSAEMResultSensitivityCheckStateSymbolTwoCompartmentPKTwoCompartmentRatesUnsupportedEstimatorErrorUnsupportedEventSemanticsValidationMessageadditive()apply_random_effects()as_expr()canonicalize_events()combined()compiled_model()conditional_mode_objective()covariate()d()derivative()eta_shrinkage()exp()experimental_saem()find_conditional_mode()finite_difference_gradient()finite_difference_hessian()finite_difference_sensitivities()fit_focei()interval_censored_loglikelihood()laplace_population_objective()left_censored_loglikelihood()log()log1p()lognormal()model()observe()omega_from_standard_deviations()one_compartment_bolus()one_compartment_infusion()one_compartment_iv_bolus()one_compartment_iv_infusion()one_compartment_oral()power()proportional()right_censored_loglikelihood()saem()simulate_ode()simulate_subjects()sqrt()symbol()two_compartment_bolus()two_compartment_infusion()two_compartment_iv_bolus()two_compartment_iv_infusion()two_compartment_oral()two_compartment_rates()- Submodules
- Submodules
- pymixef.capabilities module
- pymixef.cli module
- pymixef.compare module
- pymixef.convergence module
- pymixef.covariance module
AR1AR1CovarianceAnteDependenceAnteDependenceCovarianceCompoundSymmetryCompoundSymmetryCovarianceCovarianceStructureCovarianceValidationDiagonalDiagonalCovarianceHeterogeneousAR1HeterogeneousAR1CovarianceHeterogeneousToeplitzHeterogeneousToeplitzCovarianceKnownCovarianceSpatialPowerSpatialPowerCovarianceToeplitzToeplitzCovarianceUnstructuredUnstructuredCovariancecovariance_structure()get_covariance()singularity_report()validate_covariance()
- pymixef.data module
AuditRecordAuditedDataColumnSchemaColumnarDataDataAdapterDataAuditInputAdapter()MissingnessKindPatternMixtureRecordPatternMixtureResultadapt_data()audit_data()find_duplicate_keys()is_missing()missing_mask()pattern_mixture_adjust()prepare_data()stable_sort()validate_monotonic_time()
- pymixef.diagnostics module
- pymixef.errors module
- pymixef.families module
NB1NB2BernoulliBetaBinomialCOMPoissonCensoredCensoredFamilyConwayMaxwellPoissonExponentialExponentialSurvivalFamilyGammaGaussianGenPoissonGeneralizedPoissonGompertzGompertzSurvivalHurdleHurdleFamilyInverseGaussInverseGaussianLinkLogLogisticLogLogisticSurvivalLogNormalLogNormalSurvivalLognormalMultinomialNegativeBinomialNegativeBinomial1NegativeBinomial2NormalOrdinalPiecewiseExponentialPoissonStudentStudentTTruncatedTruncatedFamilyTweedieWeibullWeibullSurvivalZeroInflatedZeroInflatedFamilyget_link()links
- pymixef.formula module
- pymixef.inference module
- pymixef.ir module
- pymixef.model module
- pymixef.native module
- pymixef.plugins module
- pymixef.provenance module
- pymixef.random module
- pymixef.reporting module
- pymixef.results module
- pymixef.transforms module
- pymixef.validation module
- pymixef.warnings module