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nlmixr2: Nonlinear Mixed Effects Models in Population PK/PD

Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).

Version: 2.1.1
Depends: nlmixr2data
Imports: nlmixr2est (≥ 2.2.0), nlmixr2extra, rxode2 (≥ 2.1.1), lotri, nlmixr2plot, magrittr, crayon, cli
Suggests: rmarkdown, knitr, devtools, ggplot2, testthat, n1qn1, rxode2parse, withr
Published: 2024-02-01
Author: Matthew Fidler ORCID iD [aut, cre], Yuan Xiong [ctb], Rik Schoemaker ORCID iD [ctb], Justin Wilkins ORCID iD [ctb], Wenping Wang [ctb], Mirjam Trame [ctb], Huijuan Xu [ctb], John Harrold [ctb], Bill Denney ORCID iD [ctb], Theodoros Papathanasiou [ctb], Teun Post [ctb], Richard Hooijmaijers [ctb]
Maintainer: Matthew Fidler <matthew.fidler at gmail.com>
BugReports: https://github.com/nlmixr2/nlmixr2/issues/
License: GPL (≥ 3)
URL: https://nlmixr2.org/, https://github.com/nlmixr2/nlmixr2/
NeedsCompilation: no
Citation: nlmixr2 citation info
Materials: README NEWS
In views: DifferentialEquations, HighPerformanceComputing, MixedModels, Pharmacokinetics
CRAN checks: nlmixr2 results

Documentation:

Reference manual: nlmixr2.pdf

Downloads:

Package source: nlmixr2_2.1.1.tar.gz
Windows binaries: r-devel: nlmixr2_2.1.1.zip, r-release: nlmixr2_2.1.1.zip, r-oldrel: nlmixr2_2.1.1.zip
macOS binaries: r-release (arm64): nlmixr2_2.1.1.tgz, r-oldrel (arm64): nlmixr2_2.1.1.tgz, r-release (x86_64): nlmixr2_2.1.1.tgz, r-oldrel (x86_64): nlmixr2_2.1.1.tgz
Old sources: nlmixr2 archive

Reverse dependencies:

Reverse depends: babelmixr2
Reverse imports: nlmixr2rpt
Reverse suggests: ggPMX, tidyvpc, xpose.nlmixr2

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nlmixr2 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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