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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