nmw: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics

This shows how 'NONMEM' (Beal SL, Sheiner LB, Boeckmann AJ, Bauer RJ. NONMEM 7.5 Users Guides. Icon plc, 2020) software works. 'NONMEM' classical estimation methods such as 'First Order (FO) approximation', 'First Order Conditional Estimation (FOCE)', and 'Laplacian approximation' are explained. Functions are also provided for post-run processing of NONMEM output files, generating PDF diagnostic reports including objective function value analysis, parameter estimates, prediction and residual diagnostics, empirical Bayes estimate (EBE) analysis, input data summary, and individual pharmacokinetic parameter distributions. Helper utilities for building NONMEM-ready datasets from SDTM-style source tables are also included.

Version:	0.3.1
Depends:	R (≥ 3.5.0), numDeriv
Imports:	MASS, grDevices, graphics, stats, utils
Suggests:	testthat (≥ 3.0.0)
Published:	2026-06-09
DOI:	10.32614/CRAN.package.nmw
Author:	Kyun-Seop Bae [aut, cre]
Maintainer:	Kyun-Seop Bae <k at acr.kr>
Contact:	Kyun-Seop Bae <k@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_0.3.1.tar.gz
Windows binaries:	r-devel: nmw_0.3.0.zip, r-release: nmw_0.3.0.zip, r-oldrel: nmw_0.3.0.zip
macOS binaries:	r-release (arm64): nmw_0.3.0.tgz, r-oldrel (arm64): nmw_0.3.0.tgz, r-release (x86_64): nmw_0.3.0.tgz, r-oldrel (x86_64): nmw_0.3.0.tgz
Old sources:	nmw archive

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