Description Objects from the Class Slots Extends Methods Author(s) See Also Examples
This class holds the results from an individual NONMEM 7 problem (not an entire control file) that has no $SIM step.)
Individual objects of this class are not meant to be instantiated on their own, but are created when loading
a NONMEM run via importNm.
parameterIterations:Currently unused
objectiveFinal:Vector of objective function final values (one for each method)
methodInfo:$EST statement contents partially parsed into a matrix
methodNames:character vector of full method names (from report file)
thetaInitial:List of theta initial value vectors, one element for each method used
sigmaInitial:List of sigma initial value vectors, one element for each method used
omegaInitial:List of omega initial value vectors, one element for each method used
thetaFinal:List of theta final estimate vectors, one element for each method used
sigmaFinal:List of sigma final estimate vectors, one element for each method used
omegaFinal:List of omega final estimate vectors, one element for each method used
thetaStderr:List of theta standard error vectors, one element for each method used
sigmaStderr:List of sigma standard error matrices, one element for each method used
omegaStderr:List of omega standard error matrices, one element for each method used
ETAShrinkage:Matrix of ETA shrinkages, one row for each method
EPSShrinkage:Matrix of EPS shrinkages, one row for each method
parameterCovMatrices:List of parameter covariance matrices, one for each method
parameterCorMatrices:List of parameter correlation matrices, one for each method
minInfo:Character vector holding the first line of the termination status for each method
Class "NMProblem", directly.
signature(obj = "NMBasicModelNM7"): Create user-defined categorical variables
signature(obj = "NMBasicModelNM7"): Retrieves the estimation method names
signature(obj = "NMBasicModelNM7") Extracts objective function value.
signature(obj = "NMBasicModelNM7"): Extracts the covariance matrix and optionally the correlation matrix of
the estimators for this problem.
signature(obj = "NMBasicModelNM7"): Retrieves the omega estimates from the problem and chosen method number
signature(obj = "NMBasicModelNM7"): Retrieves the sigma estimates from the problem and chosen method number
signature(obj = "NMBasicModelNM7"): Retrieves the theta estimates from the problem and chosen method number
signature(obj = "NMBasicModelNM7"): Coerces variables to categories
signature(obj = "NMBasicModelNM7"): Extracts the input and output data from the problem
signature(object = "NMBasicModelNM7"): ...
Mango Solutions
1 | showClass("NMBasicModelNM7")
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