EvaluateErrorModelDerivatives: Evaluate the error model derivatives.
In PFIM: Population Fisher Information Matrix
EvaluateErrorModelDerivatives R Documentation
Evaluate the error model derivatives.
Description
Evaluate the error model derivatives.
Usage
EvaluateErrorModelDerivatives(object, evaluationOutcome)
## S4 method for signature 'ModelError'
EvaluateErrorModelDerivatives(object, evaluationOutcome)
Arguments
object
An object from the class ModelError.
evaluationOutcome
A list giving the results of the model evaluation.
Value
A list giving the error variance and the Sigma derivatives.
PFIM documentation built on Nov. 24, 2023, 5:09 p.m.
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| EvaluateErrorModelDerivatives | R Documentation |
Evaluate the error model derivatives.
Description
Evaluate the error model derivatives.
Usage
EvaluateErrorModelDerivatives(object, evaluationOutcome)
## S4 method for signature 'ModelError'
EvaluateErrorModelDerivatives(object, evaluationOutcome)
Arguments
object |
An object from the class ModelError. |
evaluationOutcome |
A list giving the results of the model evaluation. |
Value
A list giving the error variance and the Sigma derivatives.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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