npde.decorr.method: Decorrelation methods in npde
In npde: Normalised Prediction Distribution Errors for Nonlinear Mixed-Effect Models
npde.decorr.method R Documentation
Decorrelation methods in npde
Description
Specifies the method used to decorrelate observed and simulated data
Arguments
x
a square matrix
- cholesky
decorrelation is performed through the Cholesky decomposition (default)
- inverse
decorrelation is performed by inverting Vi through the eigen function
- polar
the singular-value decomposition (svd) is used
@return This is not a function and does not have a return value, this is a statistical method.
Details
More details can be found in the PDF documentation.
References
K. Brendel, E. Comets, C. Laffont, C. Laveille, and F.
Mentre. Metrics for external model evaluation with an application to the
population pharmacokinetics of gliclazide. Pharmaceutical Research,
23:2036–49, 2006.
npde documentation built on May 29, 2024, 9:59 a.m.
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| npde.decorr.method | R Documentation |
Decorrelation methods in npde
Description
Specifies the method used to decorrelate observed and simulated data
Arguments
x |
a square matrix
@return This is not a function and does not have a return value, this is a statistical method. |
Details
More details can be found in the PDF documentation.
References
K. Brendel, E. Comets, C. Laffont, C. Laveille, and F. Mentre. Metrics for external model evaluation with an application to the population pharmacokinetics of gliclazide. Pharmaceutical Research, 23:2036–49, 2006.
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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