The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: Certara.RsNLME_3.0.1.zip, r-oldrel: Certara.RsNLME_3.0.1.zip
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

Reverse dependencies:

Reverse imports: Certara.RsNLME.ModelBuilder

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Certara.RsNLME to link to this page.

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.
Health stats visible at Monitor.