Interface for 'pyDarwin' Machine Learning Pharmacometric Model Development

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Documentation for package ‘Certara.RDarwin’ version 1.1.1

• DESCRIPTION file.

Help Pages

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