Description Objects from the Class Slots Extends Methods Author(s)
This class holds the results from an individual NONMEM problem (not an entire control file) that has no $SIM step.
Individual objects of this class are not meant to be instantiated on their own, but are created when loading
a NONMEM run via importNm
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
The virtual class "NMProblem"
, directly.
signature(obj = "NMBasicModel")
: Retrieves the omega estimates from the problem
signature(obj = "NMBasicModel")
: Retrieves the sigma estimates from the problem
signature(obj = "NMBasicModel")
: Retrieves the theta estimates from the problem
signature(obj = "NMBasicModel")
: Create user-defined categorical variables
signature(obj = "NMBasicModel")
: Coerces variables to categories
Extracts the input and output data from the problem
Display overview of problem
signature(obj = "NMBasicModel")
signature(obj = "NMBasicModel")
: Extracts the covariance matrix and optionally the correlation matrix of the estimators for this problem.
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