npde.decorr.method: Decorrelation methods in npde

In npde: Normalised Prediction Distribution Errors for Nonlinear Mixed-Effect Models

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 July 9, 2023, 5:20 p.m.