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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.

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

Documentation:

Reference manual: Certara.RsNLME.pdf

Downloads:

Package source: Certara.RsNLME_3.0.1.tar.gz
Windows binaries: r-devel: Certara.RsNLME_3.0.1.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): Certara.RsNLME_3.0.1.tgz, r-oldrel (arm64): Certara.RsNLME_3.0.1.tgz, r-release (x86_64): Certara.RsNLME_3.0.1.tgz, r-oldrel (x86_64): Certara.RsNLME_3.0.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.