npde-package {npde} | R Documentation |
Normalised prediction distribution errors for nonlinear mixed-effect models
Description
Routines to compute normalised prediction distribution errors, a metric designed to evaluate non-linear mixed effect models such as those used in pharmacokinetics and pharmacodynamics
Author(s)
Emmanuelle Comets, Karl Brendel, Thi Huyen Tram Nguyen, France Mentre
Maintainer: 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.
PDF documentation for npde 3.0: https://github.com/ecomets/npde30/blob/main/userguide_npde_3.0.pdf
Examples
data(theopp)
data(simtheopp)
# Calling autonpde with dataframes
x<-autonpde(theopp,simtheopp,ix="Time",iy="Conc",iid="ID",boolsave=FALSE)
print(x)
[Package npde version 3.5 Index]