npde (version 2.0)

npde-package: 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

Details

Package:

npde

Type:

Package

Version:

2.0

Date:

2012-08-15

License:

GPL version 2 or later

See the documentation for npde or autonpde for details. A comprehensive user manual is provided in the inst directory of the package, along with a document illustrating the different graphs and graphical options. Please refer to these two guides for details, and send all comments and bug reports to Emmanuelle Comets ().

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.

E. Comets, K. Brendel, and F. Mentre. Computing normalised prediction distribution errors to evaluate nonlinear mixed-effect models: the npde add-on package for R. Computer Methods and Programs in Biomedicine,90:154--66, 2008.

E. Comets, K. Brendel, and F. Mentre. Model evaluation in nonlinear mixed effect models, with applications to pharmacokinetics. Journal de la Societe Francaise de Statistique,151:106--28, 2010.

T.H. Nguyen, E. Comets, and F. Mentre. Extension of NPDE for evaluation of nonlinear mixed effect models in presence of data below the quantification limit with applications to HIV dynamic model. Journal of Pharmacokinetics and Pharmacodynamics, in press, 2012.

Examples

data(theopp)
data(simtheopp)

# Calling autonpde with dataframes

# x<-autonpde(theopp,simtheopp,1,3,4,boolsave=FALSE)
# x$npde