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.
| Version: |
3.0.1 |
| Depends: |
R (≥ 4.0) |
| Imports: |
xml2, assertthat, Certara.NLME8, data.table, jsonlite, methods, utils, ssh |
| Suggests: |
rlang, knitr, rmarkdown, testthat, magrittr |
| Published: |
2024-11-20 |
| 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 |