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R
npde

npde.decorr.method

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

Normalised Prediction Distribution Errors for Nonlinear Mixed-Effect Models

v3.1
GPL (>= 2)
Authors
Emmanuelle Comets [aut, cre] (<https://orcid.org/0000-0002-9150-9886>), Karl Brendel [ctb], Thi Huyen Tram Nguyen [ctb], Romain Leroux [ctb], France Mentre [ctb]
Initial release
2021-04-07

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