compute.ploq: Compute P(y_ij<LOQ) for all observations
In npde: Normalised Prediction Distribution Errors for Nonlinear Mixed-Effect Models
compute.ploq R Documentation
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, autonpde
npde documentation built on May 29, 2024, 9:59 a.m.
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| compute.ploq | R Documentation |
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 |
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, autonpde
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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