Package index
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add_Covariate()
- Add Covariate into PML models
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add_CustomSpace()
- Add a Custom Space
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add_StParm()
- Add Structural parameter into PML models Dosepoints
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Covariate()
- Create a new Covariate object and validate it
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create_CustomSpace()
- Create a Custom Space
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create_ModelEmax()
- Get the list of objects describing the PML models by set of Emax parameters
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create_ModelPD()
- Get the list of objects describing the PML models by set of PD parameters
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create_ModelPK()
get_PMLParametersSets()
- Get the list of objects describing the PML models by set of PK parameters
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create_pyDarwinOptions()
- Create pyDarwin Options
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Dosepoint()
- Create a new Dosepoint object and validate it
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get_ModelTermsToMap()
- Get Model Terms to Map
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InitialEstimate()
- Create an object of class InitialEstimate
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list_Covariates()
- List Covariates in the currrent PML set
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list_Dosepoints()
- List Dosepoints in the current PML set
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list_Observations()
- List Observations in the current PML set
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list_Omegas()
- List Unique Omega Names
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list_StParms()
- List Structural Parameters in the currrent PML set
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list_Thetas()
- List Unique Theta Names
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modify_Dosepoint()
- Modify Dosepoint in PML models
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modify_Observation()
- Modify Observation class in PML models
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modify_Omega()
- Modify Omega Parameters in PML Models
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modify_StParm()
- Modify structural parameter in PML models set
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modify_StParmCustom()
- Modify custom structural parameter in PML spaces
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modify_Theta()
- Modify Theta Parameters in PML Models
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Observation()
- Create an instance of Observation class.
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ObservationCustom()
- Create an instance of custom Observation class.
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Omega()
- Create an Omega instance with validation
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output(<CustomSpace>)
- Output a Custom Space
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print(<CustomSpace>)
- Print a Custom Space
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pyDarwinOptionsGA()
- Create options for the Genetic Algorithm (GA) in pyDarwin.
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pyDarwinOptionsGridAdapter()
- Grid Adapter Options for pyDarwin
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pyDarwinOptionsPenalty()
- Create pyDarwin Penalty Options
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pyDarwinOptionsPostprocess()
- Create pyDarwin Postprocess Options
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pyDarwinOptionsPSO()
- Create options for the Particle Swarm Optimization (PSO) in pyDarwin.
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remove_Covariate()
- Remove Covariate from PML models
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remove_Observation()
- Remove Observation from PML models
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remove_StParm()
- Remove structural parameter from PML models
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run_pyDarwin()
- Run pyDarwin Model Search
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Sigmas()
- Create an instance of Sigmas class.
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specify_EngineParams()
- Specify engine parameters for model execution
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specify_SimParams()
- Specify engine parameters for model simulation
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stop_pyDarwin()
- Stop pyDarwin Model Search
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StParm()
- Create an instance of a Structural parameter.
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Table()
- Class initializer for NLME tables
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Theta()
- Create a new Theta instance with validation.
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write_ModelTemplateTokens()
- Prints NLME metamodel template file and token json file using given options, filepaths and data
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write_pyDarwinOptions()
- Write pyDarwin options to a JSON file.