nmw: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics

This shows how NONMEM(R) <http://www.iconplc.com/innovation/nonmem/> software works. NONMEM's classical estimation methods like 'First Order(FO) approximation', 'First Order Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained.

Version: 0.1.4
Depends: R (≥ 3.0.0), numDeriv
Published: 2018-04-10
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_0.1.4.tar.gz
Windows binaries: r-devel: nmw_0.1.4.zip, r-release: nmw_0.1.4.zip, r-oldrel: nmw_0.1.4.zip
macOS binaries: r-release (arm64): nmw_0.1.4.tgz, r-oldrel (arm64): nmw_0.1.4.tgz, r-release (x86_64): nmw_0.1.4.tgz, r-oldrel (x86_64): nmw_0.1.4.tgz
Old sources: nmw archive

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