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nlmeVPC (version 2.6)

Visual Model Checking for Nonlinear Mixed Effect Model

Description

Various visual and numerical diagnosis methods for the nonlinear mixed effect model, including visual predictive checks, numerical predictive checks, and coverage plots (Karlsson and Holford, 2008, ).

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Version

Install

install.packages('nlmeVPC')

Monthly Downloads

222

Version

2.6

License

MIT + file LICENSE

Maintainer

Eun-Kyung Lee

Last Published

December 22nd, 2022

Functions in nlmeVPC (2.6)

FindBestCut

Find the best cutoff values of binning for the visual predictive checks.
aqrVPC

The visual predictive checks using the additive quantile regression (aqrVPC)
NumericalCheck

The numerical predictive checks
findQuantile

Find quantiles of the original data.
coverageplot

The coverage plot
bootVPC

The bootstrap visual predictive checks.
asVPC

The average shifted visual predictive checks (asVPC)
findSIMQ

Find quantiles of the simulated data using Rcpp
coverageDetailplot

The detailed coverage plot
VPCgraph

The original visual predictive check plot (VPC)
simdata

Simulation data
optK

Find the optimal number of bins
findSIMQuantile

Find quantiles of the simulated data.
quantVPC

The quantified visual predictive check plot (QVPC)
makeCOVbin

Discretise numeric data into categorical data
origdata

Pharmacokinetics of Theophylline with a different schedule of time.