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 (<https://github.com/ecomets/npde30/blob/main/userguide_npde_3.0.pdf>), 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, <http://journal-sfds.fr/article/view/45>), and Nguyen et al. (2012, <doi:10.1007/s10928-012-9264-2>). See 'citation("npde")' for details.

Version:	3.0
Depends:	gridExtra, ggplot2, grid
Imports:	methods, scales, mclust, testthat, rlang
Published:	2021-02-25
Author:	Emmanuelle Comets [aut, cre], Karl Brendel [ctb], Thi Huyen Tram Nguyen [ctb], Romain Leroux [ctb], France Mentre [ctb]
Maintainer:	Emmanuelle Comets <emmanuelle.comets at inserm.fr>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/ecomets/npde30/blob/main/userguide_npde_3.0.pdf
NeedsCompilation:	no
CRAN checks:	npde results

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