NMSimDataGen-class: Class for holding simulation problems that don't fit models

Description Objects from the Class Slots Extends Methods Author(s) Examples

Description

This class handles NONMEM models that have a $SIM statement but only simulate data without fitting a mode

Objects from the Class

Objects of this class are not usually instantiated on their own, but are created as part of a call to importNm.

Slots

numSimulations:

Number of simulations/subproblems

seeds:

Seeds used for the random number generator

thetaInitial:

thetaInitial Fixed/initial theta values used to generate data (numeric vector)

omegaInitial:

Fixed/initial omega values used to generate data (numeric matrix)

sigmaInitial:

Fixed/initial sigma values used to generate data (numeric matrix)

Extends

Virtual class "NMProblem", directly.

Methods

getThetas

signature(obj = "NMSimDataGen"): Retrieves initial theta values

getSigmas

signature(obj = "NMSimDataGen"): Retrieves initial sigma values

getOmegas

signature(obj = "NMSimDataGen"): Retrieves initial omega values

addDerivedCategorical

signature(obj = "NMSimDataGen"): Create user-defined categorical variables

imposeCategoryFormat

signature(obj = "NMSimDataGen"): Coerces variables to categories

nmData

signature(object = "NMSimDataGen"): Retrieves the input/output data, where the output can come from 1 or more subproblems. A parameter stackInput is also available. If TRUE, will cause input to be "stacked" enough times that it matches the size of the output.

show

signature(object = "NMSimDataGen"): Prints basic data about the problem

getSimInfo

signature(obj = "NMSimDataGen"): Get Simulation Information

Author(s)

Mango Solutions <[email protected]>

Examples

1
	showClass("NMSimDataGen")

MangoTheCat/RNMImport documentation built on Aug. 5, 2018, 4:09 p.m.