Package index • Certara.RDarwin

All functions

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_PMLParametersSets(): 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

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.