Certara.RsNLME: Pharmacometric Modeling (original) (raw)
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, and support integrated use within the Pirana pharmacometric workbench <doi:10.1002/psp4.70067>. Execution is supported both locally or on remote machines.
| Version: | 3.1.0.1 |
|---|---|
| Depends: | R (≥ 4.0) |
| Imports: | xml2, assertthat, Certara.NLME8, data.table, jsonlite, methods, utils, ssh |
| Suggests: | rlang, knitr, rmarkdown, testthat, magrittr |
| Published: | 2025-09-03 |
| DOI: | 10.32614/CRAN.package.Certara.RsNLME |
| 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 at certara.com> |
| License: | LGPL-3 |
| URL: | https://certara.github.io/R-RsNLME/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | Certara.RsNLME results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=Certara.RsNLMEto link to this page.