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.

Version: 0.1.5
Depends: R (≥ 3.5.0), numDeriv
Published: 2023-05-10
DOI: 10.32614/CRAN.package.nmw
Author: Kyun-Seop Bae
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


Reference manual: nmw.pdf


Package source: nmw_0.1.5.tar.gz
Windows binaries: r-devel: nmw_0.1.5.zip, r-release: nmw_0.1.5.zip, r-oldrel: nmw_0.1.5.zip
macOS binaries: r-release (arm64): nmw_0.1.5.tgz, r-oldrel (arm64): nmw_0.1.5.tgz, r-release (x86_64): nmw_0.1.5.tgz, r-oldrel (x86_64): nmw_0.1.5.tgz
Old sources: nmw archive


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