npde: Normalised Prediction Distribution Errors for Nonlinear Mixed-Effect Models

Provides 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. Documentation about 'npde' is provided by a comprehensive user guide on the github repository (<>), and references concerning the methods include the papers by Brendel et al. (2006, <doi:10.1007/s11095-006-9067-5>; 2010, <doi:10.1007/s10928-009-9143-7>), Comets et al. (2008, <doi:10.1016/j.cmpb.2007.12.002> ; 2010, <>), and Nguyen et al. (2012, <doi:10.1007/s10928-012-9264-2>). See 'citation("npde")' for details.

Version: 3.1
Depends: gridExtra, ggplot2, grid
Imports: methods, scales, mclust, rlang
Published: 2021-04-07
Author: Emmanuelle Comets ORCID iD [aut, cre], Karl Brendel [ctb], Thi Huyen Tram Nguyen [ctb], Romain Leroux [ctb], France Mentre [ctb]
Maintainer: Emmanuelle Comets <emmanuelle.comets at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: npde results


Reference manual: npde.pdf
Package source: npde_3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): npde_3.1.tgz, r-release (x86_64): npde_3.1.tgz, r-oldrel: npde_3.1.tgz
Old sources: npde archive


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