nmw: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics

This shows how NONMEM(R) software works. NONMEM's classical estimation methods like 'First Order(FO) approximation', 'First Order Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained. Additionally, provides functions for post-run processing of NONMEM output files, generating comprehensive PDF diagnostic reports including objective function value analysis, parameter estimates, prediction diagnostics, residual diagnostics, empirical Bayes estimate (EBE) analysis, input data summary, and individual pharmacokinetic parameter distributions.

Version:	0.2.0
Depends:	R (≥ 3.5.0), numDeriv
Imports:	MASS, grDevices, graphics, stats, utils
Suggests:	testthat (≥ 3.0.0)
Published:	2026-04-07
DOI:	10.32614/CRAN.package.nmw
Author:	Kyun-Seop Bae [aut, cre]
Maintainer:	Kyun-Seop Bae <k at acr.kr>
License:	GPL-3
Copyright:	2017-, Kyun-Seop Bae
URL:	https://cran.r-project.org/package=nmw
NeedsCompilation:	no
Materials:	NEWS
In views:	Pharmacokinetics
CRAN checks:	nmw results

Documentation:

Reference manual:

nmw.html , nmw.pdf

Downloads:

Package source:	nmw_0.2.0.tar.gz
Windows binaries:	r-devel: nmw_0.1.6.zip, r-release: nmw_0.1.6.zip, r-oldrel: nmw_0.1.6.zip
macOS binaries:	r-release (arm64): nmw_0.1.6.tgz, r-oldrel (arm64): nmw_0.1.6.tgz, r-release (x86_64): nmw_0.1.6.tgz, r-oldrel (x86_64): nmw_0.1.6.tgz
Old sources:	nmw archive

Linking:

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