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Certara.RsNLME: Pharmacometric Modeling
Facilitate Pharmacokinetic (PK) and Pharmacodynamic (PD) modeling and simulation with powerful tools for Nonlinear Mixed-Effects (NLME) modeling. The package provides access to the same advanced Maximum Likelihood algorithms used by the NLME-Engine in the Phoenix platform. These tools support a range of analyses, from parametric methods to individual and pooled data analysis <https://www.certara.com/app/uploads/2020/06/BR_PhoenixNLME-v4.pdf>. Execution is supported both locally or on remote machines.
Getting started
Browse package contents
Package details |
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| Author | James Craig [aut, cre], Michael Tomashevskiy [aut], Vitalii Nazarov [aut], Shuhua Hu [ctb], Soltanshahi Fred [aut], Certara USA, Inc. [cph, fnd] |
| Maintainer | James Craig <james.craig@certara.com> |
| License | LGPL-3 |
| Version | 3.0.1 |
| URL | https://certara.github.io/R-RsNLME/ |
| Package repository | View on CRAN |
| Installation |
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