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compute.ploq

Compute P(y_ij<LOQ) for all observations


Description

For each observation in the dataset, computes the probability to be below LOQ using the simulations under the model. This is generally performed automatically.

Usage

compute.ploq(npdeObject)

Arguments

npdeObject

an object returned by a call to npde or autonpde

Value

an object of class NpdeObject with a component ploq in the ["results"] slot

Author(s)

Emmanuelle Comets <emmanuelle.comets@bichat.inserm.fr>

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.

See Also


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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