Nonlinear Mixed‐Effects Model Development and Simulation Using nlmixr and Related R Open‐Source Packages

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 implem...

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Autores principales: Fidler, Matthew, Wilkins, Justin J., Hooijmaijers, Richard, Post, Teun M., Schoemaker, Rik, Trame, Mirjam N., Xiong, Yuan, Wang, Wenping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Tutorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765694/
https://www.ncbi.nlm.nih.gov/pubmed/31207186
http://dx.doi.org/10.1002/psp4.12445
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author Fidler, Matthew
Wilkins, Justin J.
Hooijmaijers, Richard
Post, Teun M.
Schoemaker, Rik
Trame, Mirjam N.
Xiong, Yuan
Wang, Wenping
author_facet Fidler, Matthew
Wilkins, Justin J.
Hooijmaijers, Richard
Post, Teun M.
Schoemaker, Rik
Trame, Mirjam N.
Xiong, Yuan
Wang, Wenping
author_sort Fidler, Matthew
collection PubMed
description 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.
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spelling pubmed-67656942019-09-30 Nonlinear Mixed‐Effects Model Development and Simulation Using nlmixr and Related R Open‐Source Packages Fidler, Matthew Wilkins, Justin J. Hooijmaijers, Richard Post, Teun M. Schoemaker, Rik Trame, Mirjam N. Xiong, Yuan Wang, Wenping CPT Pharmacometrics Syst Pharmacol Tutorial 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. John Wiley and Sons Inc. 2019-07-16 2019-09 /pmc/articles/PMC6765694/ /pubmed/31207186 http://dx.doi.org/10.1002/psp4.12445 Text en © 2019 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Tutorial
Fidler, Matthew
Wilkins, Justin J.
Hooijmaijers, Richard
Post, Teun M.
Schoemaker, Rik
Trame, Mirjam N.
Xiong, Yuan
Wang, Wenping
Nonlinear Mixed‐Effects Model Development and Simulation Using nlmixr and Related R Open‐Source Packages
title Nonlinear Mixed‐Effects Model Development and Simulation Using nlmixr and Related R Open‐Source Packages
title_full Nonlinear Mixed‐Effects Model Development and Simulation Using nlmixr and Related R Open‐Source Packages
title_fullStr Nonlinear Mixed‐Effects Model Development and Simulation Using nlmixr and Related R Open‐Source Packages
title_full_unstemmed Nonlinear Mixed‐Effects Model Development and Simulation Using nlmixr and Related R Open‐Source Packages
title_short Nonlinear Mixed‐Effects Model Development and Simulation Using nlmixr and Related R Open‐Source Packages
title_sort nonlinear mixed‐effects model development and simulation using nlmixr and related r open‐source packages
topic Tutorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765694/
https://www.ncbi.nlm.nih.gov/pubmed/31207186
http://dx.doi.org/10.1002/psp4.12445
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