Fidler M, Xiong Y, Schoemaker R, Wilkins J, Trame M, Hooijmaijers R, Post T, Wang W (2020). nlmixr: Nonlinear Mixed Effects Models in Population Pharmacokinetics and Pharmacodynamics. R package version 1.1.1-9, https://CRAN.R-project.org/package=nlmixr.
Fidler M, Wilkins J, Hooijmaijers R, Post T, Schoemaker R, Trame M, Xiong Y, Wang W (2019). “Nonlinear Mixed-Effects Model Development and Simulation Using nlmixr and Related R Open-Sourc Packages.” CPT: Pharmacometrics \& Systems Pharmacology, 8(9), 621–633. https://doi.org/10.1002/psp4.12445.
Corresponding BibTeX entries:
@Manual{,
title = {{nlmixr}: Nonlinear Mixed Effects Models in Population
Pharmacokinetics and Pharmacodynamics},
author = {Matthew Fidler and Yuan Xiong and Rik Schoemaker and
Justin Wilkins and Mirjam Trame and Richard Hooijmaijers and Teun
Post and Wenping Wang},
year = {2020},
note = {R package version 1.1.1-9},
url = {https://CRAN.R-project.org/package=nlmixr},
}
@Article{,
title = {Nonlinear Mixed-Effects Model Development and Simulation
Using nlmixr and Related R Open-Sourc Packages},
author = {Matthew Fidler and Justin Wilkins and Richard
Hooijmaijers and Teun Post and Rik Schoemaker and Mirjam Trame
and Yuan Xiong and Wenping Wang},
journal = {CPT: Pharmacometrics \& Systems Pharmacology},
year = {2019},
volume = {8},
pages = {621--633},
number = {9},
month = {sep},
abstract = {nlmixr is a free and open-source R package for fitting
nonlinear pharmacokinetic (PK), pharmacodynamic (PD), joint
PK-PD, and quantitative systems pharmacology mixed-effects
models. Currently, nlmixr is capable of fitting both traditional
compartmental PK models as well as more complex models
implemented using ordinary differential equations. We believe
that, over time, it will become a capable, credible alternative
to commercial software tools, such as NONMEM, Monolix, and
Phoenix NLME.},
address = {Hoboken},
publisher = {John Wiley and Sons Inc.},
url = {https://doi.org/10.1002/psp4.12445},
}