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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

Documentation:

Reference manual: nmw.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nmw to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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