pysr3.lme package

Submodules

• pysr3.lme.model_selectors module
  • get_model()
  • select_covariates()
• pysr3.lme.models module
  • CADLmeModel
    • CADLmeModel.instantiate()
  • CADLmeModelSR3
    • CADLmeModelSR3.instantiate()
  • L0LmeModel
    • L0LmeModel.instantiate()
  • L0LmeModelSR3
    • L0LmeModelSR3.instantiate()
  • L1LmeModel
    • L1LmeModel.instantiate()
  • L1LmeModelSR3
    • L1LmeModelSR3.instantiate()
  • LMEModel
    • LMEModel.check_is_fitted()
    • LMEModel.fit()
    • LMEModel.fit_problem()
    • LMEModel.instantiate()
    • LMEModel.predict()
    • LMEModel.predict_problem()
    • LMEModel.score()
  • SCADLmeModel
    • SCADLmeModel.instantiate()
  • SCADLmeModelSR3
    • SCADLmeModelSR3.instantiate()
  • SimpleLMEModel
    • SimpleLMEModel.get_information_criterion()
    • SimpleLMEModel.instantiate()
  • SimpleLMEModelSR3
    • SimpleLMEModelSR3.get_information_criterion()
    • SimpleLMEModelSR3.instantiate()
• pysr3.lme.oracles module
  • LinearLMEOracle
    • LinearLMEOracle.beta_gamma_to_x()
    • LinearLMEOracle.demarginalized_loss()
    • LinearLMEOracle.flip_probabilities_beta()
    • LinearLMEOracle.forget()
    • LinearLMEOracle.get_condition_numbers()
    • LinearLMEOracle.get_ic()
    • LinearLMEOracle.gradient_beta()
    • LinearLMEOracle.gradient_gamma()
    • LinearLMEOracle.gradient_value_function()
    • LinearLMEOracle.hessian_beta()
    • LinearLMEOracle.hessian_beta_gamma()
    • LinearLMEOracle.hessian_gamma()
    • LinearLMEOracle.instantiate()
    • LinearLMEOracle.joint_gradient()
    • LinearLMEOracle.joint_loss()
    • LinearLMEOracle.jones2010bic()
    • LinearLMEOracle.loss()
    • LinearLMEOracle.muller_hui_2016ic()
    • LinearLMEOracle.optimal_beta()
    • LinearLMEOracle.optimal_gamma()
    • LinearLMEOracle.optimal_gamma_ip()
    • LinearLMEOracle.optimal_gamma_pgd()
    • LinearLMEOracle.optimal_random_effects()
    • LinearLMEOracle.vaida2005aic()
    • LinearLMEOracle.value_function()
    • LinearLMEOracle.x_to_beta_gamma()
  • LinearLMEOracleSR3
    • LinearLMEOracleSR3.find_optimal_parameters()
    • LinearLMEOracleSR3.find_optimal_parameters_ip()
    • LinearLMEOracleSR3.gradient_beta()
    • LinearLMEOracleSR3.gradient_gamma()
    • LinearLMEOracleSR3.gradient_value_function()
    • LinearLMEOracleSR3.hessian_beta()
    • LinearLMEOracleSR3.hessian_gamma()
    • LinearLMEOracleSR3.joint_gradient()
    • LinearLMEOracleSR3.joint_loss()
    • LinearLMEOracleSR3.jones2010bic()
    • LinearLMEOracleSR3.loss()
    • LinearLMEOracleSR3.muller_hui_2016ic()
    • LinearLMEOracleSR3.optimal_beta()
    • LinearLMEOracleSR3.vaida2005aic()
    • LinearLMEOracleSR3.value_function()
• pysr3.lme.priors module
  • GaussianPriorLME
    • GaussianPriorLME.forget()
    • GaussianPriorLME.gradient_beta()
    • GaussianPriorLME.gradient_gamma()
    • GaussianPriorLME.hessian_beta()
    • GaussianPriorLME.hessian_beta_gamma()
    • GaussianPriorLME.hessian_gamma()
    • GaussianPriorLME.instantiate()
    • GaussianPriorLME.loss()
  • NonInformativePriorLME
    • NonInformativePriorLME.forget()
    • NonInformativePriorLME.gradient_beta()
    • NonInformativePriorLME.gradient_gamma()
    • NonInformativePriorLME.hessian_beta()
    • NonInformativePriorLME.hessian_beta_gamma()
    • NonInformativePriorLME.hessian_gamma()
    • NonInformativePriorLME.instantiate()
    • NonInformativePriorLME.loss()
• pysr3.lme.problems module
  • LMEProblem
    • LMEProblem.from_dataframe()
    • LMEProblem.from_x_y()
    • LMEProblem.generate()
    • LMEProblem.to_dataframe()
    • LMEProblem.to_x_y()
  • LMEStratifiedShuffleSplit
    • LMEStratifiedShuffleSplit.get_n_splits()
    • LMEStratifiedShuffleSplit.split()
  • Problem
    • Problem.from_x_y()
    • Problem.to_x_y()
  • get_per_group_coefficients()
  • random_effects_to_matrix()

Module contents