NMBasicModel-class: Standard/"basic" NONMEM individual problem

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

Description

This class holds the results from an individual NONMEM problem (not an entire control file) that has no $SIM step.

Objects from the Class

Individual objects of this class are not meant to be instantiated on their own, but are created when loading a NONMEM run via importNm

Slots

parameterIterations:

A data.frame of the iteration of each parameter estimate, if available

objectiveFinal:

The numeric value of the objective function minimum

thetaInitial:

Initial value of the "thetas"

sigmaInitial:

Initial value of the "sigmas"

omegaInitial:

Initial value of the "omegas"

thetaFinal:

Final estimates of the "thetas", together with the standard errors, if available (as a 2-row matrix)

sigmaFinal:

Final estimates of the "sigmas", together with the standard errors, if available (as an array with 1 or 2 matrices)

omegaFinal:

Final estimates of the "omegas", together with the standard errors, if available (as an array with 1 or 2 matrices)

parameterCovMatrix:

The variance-covariance of the parameter estimators, if available

parameterCorMatrix:

The correlation matrix of the parameter estimators, if available

minInfo:

A string describing the status of the objective function-minimization

Extends

The virtual class "NMProblem", directly.

Methods

getOmegas

signature(obj = "NMBasicModel"): Retrieves the omega estimates from the problem

getSigmas

signature(obj = "NMBasicModel"): Retrieves the sigma estimates from the problem

getThetas

signature(obj = "NMBasicModel"): Retrieves the theta estimates from the problem

addDerivedCategorical

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

imposeCategoryFormat

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

nmData

Extracts the input and output data from the problem

show

Display overview of problem

getObjective

signature(obj = "NMBasicModel")

getEstimateCov

signature(obj = "NMBasicModel"): Extracts the covariance matrix and optionally the correlation matrix of the estimators for this problem.

Author(s)

Mango Solutions <support@mango-solutions.com>



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