Package: Certara.DarwinReporter 2.0.1
Certara.DarwinReporter: Data Visualization Utilities for 'pyDarwin' Machine Learning Pharmacometric Model Development
Utilize the 'shiny' interface for visualizing results from a 'pyDarwin' (<https://certara.github.io/pyDarwin/>) machine learning pharmacometric model search. It generates Goodness-of-Fit plots and summary tables for selected models, allowing users to customize diagnostic outputs within the interface. The underlying R code for generating plots and tables can be extracted for use outside the interactive session. Model diagnostics can also be incorporated into an R Markdown document and rendered in various output formats.
Authors:
Certara.DarwinReporter_2.0.1.tar.gz
Certara.DarwinReporter_2.0.1.zip(r-4.7)Certara.DarwinReporter_2.0.1.zip(r-4.6)Certara.DarwinReporter_2.0.1.zip(r-4.5)
Certara.DarwinReporter_2.0.1.tgz(r-4.6-any)Certara.DarwinReporter_2.0.1.tgz(r-4.5-any)
Certara.DarwinReporter_2.0.1.tar.gz(r-4.7-any)Certara.DarwinReporter_2.0.1.tar.gz(r-4.6-any)
Certara.DarwinReporter_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Certara.DarwinReporter/json (API)
| # Install 'Certara.DarwinReporter' in R: |
| install.packages('Certara.DarwinReporter', repos = c('https://certara-jcraig.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/certara/r-darwinreporter/issues
Pkgdown/docs site:https://certara.github.io
Last updated from:38fdff3bcc. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 185 | ||
| source / vignettes | OK | 246 | ||
| linux-release-x86_64 | OK | 203 | ||
| macos-release-arm64 | OK | 96 | ||
| macos-oldrel-arm64 | OK | 107 | ||
| windows-devel | OK | 116 | ||
| windows-release | OK | 125 | ||
| windows-oldrel | OK | 147 | ||
| wasm-release | OK | 175 |
Exports:darwin_datadarwinReportUIfitness_penalties_vs_iterationfitness_vs_iterationget_eps_shkget_eta_shkimport_key_modelssummarise_fitness_by_iterationsummarise_fitness_penalties_by_iterationsummarise_overall_by_key_modelstheme_certara
Dependencies:askpassassertthatbackportsbase64encbitbit64bslibcachemcallrCertara.Xpose.NLMEcheckmateclassclassIntclicliprcolourpickercommonmarkcpp11crayoncrosstalkcurldata.tabledigestdplyrDTe1071eggevaluatefarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverforcatsfsgdtoolsgenericsGGallyggforceggplot2ggstatsgluegridExtragtablehighrhmshtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallearnrlifecyclelitedownmagrittrmarkdownMASSMatrixmemoisemimeminiUIofficeropensslotelpatchworkpillarpkgconfigplotlypolyclipprettyunitsprocessxprogresspromisesproxypspurrrR.cacheR.methodsS3R.ooR.utilsR6raggrappdirsRColorBrewerRcppreadrrenvrlangrmarkdownrprojrootS7sassscalesshinyshinyAceshinyjquishinyjsshinymetashinyTreeshinyWidgetssortablesourcetoolsstringistringrstylersurvivalsyssystemfontstextshapingtibbletidyrtidyselecttinytextweenrtzdbutf8uuidvctrsviridisLitevpcvroomwithrxfunxml2xposextableyamlzip
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Initialize darwin data structure. | darwin_data |
| Generate and Report Model Diagnostics from NLME or NONMEM runs | darwinReportUI |
| Plot minimum fitness by iteration with penalty composition. | fitness_penalties_vs_iteration |
| Plot best fitness by iteration. | fitness_vs_iteration |
| Get eps shrinkage values 'xpose_data' object | get_eps_shk |
| Get eta shrinkage values from 'xpose_data' object | get_eta_shk |
| Imports files from key model output folders | import_key_models |
| Summarise fitness by iteration | summarise_fitness_by_iteration |
| Summarize minimum fitness and penalty values by iteration | summarise_fitness_penalties_by_iteration |
| Summarise overall table by key models | summarise_overall_by_key_models |
| A ggplot2 theme for Certara. | theme_certara |
