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npde (version 2.0)

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

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Version

Install

install.packages('npde')

Monthly Downloads

630

Version

2.0

License

GPL (>= 2)

Maintainer

Emmanuelle Comets

Last Published

October 15th, 2012

Functions in npde (2.0)

plot.NpdeData

Plots a NpdeData object
npdeData

Creates a NpdeData object
gof.test

Test on npde or pd
npde

Compute normalised prediction distribution errors
simvirload

Simulated data for the computation of normalised prediction distribution errors, viral load example
plot.NpdeObject

Plots a NpdeObject object
plot.NpdeRes

Plots a NpdeRes object
showall

Brief summary of an object
kurtosis

Kurtosis
npde.graphs

Save the graphs for a NpdeObject object to a file
NpdeData-class

Class "NpdeData" representing the structure of the longitudinal data
simtheopp

Simulated data for the computation of normalised prediction distribution errors
virload

Simulated HIV viral loads in HIV patients
NpdeObject-class

Class "NpdeObject"
theopp

Pharmacokinetics of theophylline
skewness

Skewness
npde-package

Normalised prediction distribution errors for nonlinear mixed-effect models
npde.cens.method

Method used to handle censored data
NpdeRes-class

Class "NpdeRes"
npde.decorr.method

Method used to decorrelate vectors
dist.pred.sim

Compute distribution of pd/npde using simulations
NpdeSimData-class

Class "NpdeSimData" representing the structure of the longitudinal data
set.plotoptions

Set graphical preferences
npdeControl

Set options for an NpdeObject
npde.save

Save the results contained in a NpdeObject object to a file