Package: Certara.RsNLME.ModelBuilder 3.0.1
Certara.RsNLME.ModelBuilder: Pharmacometric Model Building Using 'shiny'
Develop Nonlinear Mixed Effects (NLME) models for pharmacometrics using a 'shiny' interface. The Pharmacometric Modeling Language (PML) code updates in real time given changes to user inputs. Models can be executed using the 'Certara.RsNLME' package. Additional support to generate the underlying 'Certara.RsNLME' code to recreate the corresponding model in R is provided in the user interface.
Authors:
Certara.RsNLME.ModelBuilder_3.0.1.tar.gz
Certara.RsNLME.ModelBuilder_3.0.1.zip(r-4.7)Certara.RsNLME.ModelBuilder_3.0.1.zip(r-4.6)Certara.RsNLME.ModelBuilder_3.0.1.zip(r-4.5)
Certara.RsNLME.ModelBuilder_3.0.1.tgz(r-4.6-any)Certara.RsNLME.ModelBuilder_3.0.1.tgz(r-4.5-any)
Certara.RsNLME.ModelBuilder_3.0.1.tar.gz(r-4.7-any)Certara.RsNLME.ModelBuilder_3.0.1.tar.gz(r-4.6-any)
Certara.RsNLME.ModelBuilder_3.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Certara.RsNLME.ModelBuilder/json (API)
| # Install 'Certara.RsNLME.ModelBuilder' in R: |
| install.packages('Certara.RsNLME.ModelBuilder', repos = c('https://certara-jcraig.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/certara/r-rsnlme-model-builder/issues
Pkgdown/docs site:https://certara.github.io
Last updated from:34c1b33f3a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 171 | ||
| source / vignettes | OK | 216 | ||
| linux-release-x86_64 | OK | 169 | ||
| macos-release-arm64 | OK | 148 | ||
| macos-oldrel-arm64 | OK | 89 | ||
| windows-devel | OK | 113 | ||
| windows-release | OK | 146 | ||
| windows-oldrel | OK | 118 | ||
| wasm-release | OK | 131 |
Exports:change_ThetasMmdlcreate_metamodelBuiltincreate_metamodelTextualestimatesUImodelBuilderUImodelTextualUI
Dependencies:askpassassertthatbackportsbase64encbase64urlbatchtoolsbrewbslibcachemcallrCertara.NLME8Certara.RsNLMEcheckmateclicommonmarkcpp11crayoncredentialscrosstalkcurldata.tabledigestDTevaluatefarverfastmapfontawesomefsggforceggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlazyevallifecyclemagrittrMASSmemoisemimeopensslotelpkgconfigplyrpolyclipprettyunitsprocessxprogresspromisespspurrrR.cacheR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppreshaperlangrmarkdownrprojrootS7sassscalesshinyshinyAceshinyjsshinymetashinyWidgetssourcetoolssshstringistylersyssystemfontstidyselecttinytextweenrvctrsviridisLitewithrxfunxml2xtableyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Run 'modelBuilderUI()' and create resulting metamodel | create_metamodelBuiltin |
| Send metamodel to 'modelTextualUI()' and run shiny application | create_metamodelTextual |
| Shiny GUI to examine the model and evaluate estimates for fixed effects. | estimatesUI |
| Build RsNLME model from Shiny GUI and generate corresponding RsNLME code | modelBuilderUI |
| Edit textual RsNLME model from Shiny GUI | modelTextualUI |
