R: Interface for 'pyDarwin' Machine Learning Pharmacometric Model Development

# Interface for 'pyDarwin' Machine Learning Pharmacometric Model Development

## Documentation for package ‘Certara.RDarwin’ version 1.2.0

- DESCRIPTION file
- Package README

## Help Pages

add_Covariate | Add Covariate into PML models
add_CustomSpace | Add a Custom Space to a PMLModels Object
add_Dosepoint | Add Dosepoint in PML models
add_Spaces | Add Multiple Model Spaces to a PMLModels Object
add_StParm | Add Structural parameter into PML models Dosepoints
Covariate | Create a new Covariate object and validate it
create_CustomSpace | Create a Custom Space (PML Model) from Code
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
Expression | Create an Expression object
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
output_NLMETemplate | Generate NLME Model Template from JSON Specification
pyDarwinOptionsGA | Create options for the Genetic Algorithm (GA) in pyDarwin.
pyDarwinOptionsGridAdapter | Grid Adapter Options for pyDarwin
pyDarwinOptionsMOGA | Create Options for the pyDarwin MOGA Block
pyDarwinOptionsPenalty | Create pyDarwin Penalty Options
pyDarwinOptionsPostprocess | Create pyDarwin Postprocess Options
pyDarwinOptionsPSO | Create options for the Particle Swarm Optimization (PSO) in pyDarwin.
reconnect_pyDarwinJob | Reconnect, Monitor, and Retrieve Results from a Remote pyDarwin Job
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
run_pyDarwinRemote | Run pyDarwin on a Remote Host via SSH
Sigmas | Create an instance of Sigmas class.
specify_EngineParams | Specify Engine Parameters for NLME Model Execution
specify_SimParams | Specify Engine Parameters for Model Simulation
stop_pyDarwin | Stop pyDarwin Model Search
stop_pyDarwinRemote | Stop a Remote pyDarwin Job
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.