Package: nmw 0.1.5

Kyun-Seop Bae

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.

Authors:Kyun-Seop Bae

nmw_0.1.5.tar.gz
nmw_0.1.5.tar.gz(r-4.5-noble)nmw_0.1.5.tar.gz(r-4.4-noble)
nmw_0.1.5.tgz(r-4.4-emscripten)nmw_0.1.5.tgz(r-4.3-emscripten)
nmw.pdf |nmw.html✨
nmw/json (API)
NEWS

# Install 'nmw' in R:
install.packages('nmw', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 286 downloads 26 exports 1 dependencies

Last updated 2 years agofrom:1be8ffa1e0. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-linuxOKMar 06 2025
R-4.4-linuxOKMar 06 2025

Exports:AddCoxCalcSmatCombDmExPcCovStepDECNDesclVareEstStepInitStepltv2matmat2ltvmat2utvMxObjObjEtaOiOi0Oi1OiS0OiS1PostHocEtaScaleVarSqrtInvCovTabStepTrimOututv2mat

Dependencies:numDeriv

Citation

To cite package ‘nmw’ in publications use:

Bae K (2023). nmw: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics. R package version 0.1.5, https://CRAN.R-project.org/package=nmw.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {nmw: Understanding Nonlinear Mixed Effects Modeling for
      Population Pharmacokinetics},
    author = {Kyun-Seop Bae},
    year = {2023},
    note = {R package version 0.1.5},
    url = {https://CRAN.R-project.org/package=nmw},
  }