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
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Certara.DarwinReporter.pdf |Certara.DarwinReporter.html✨
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 site:https://certara.github.io
Last updated 3 days agofrom:38fdff3bcc. Checks:9 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 08 2025 |
R-4.5-win | OK | Mar 08 2025 |
R-4.5-mac | OK | Mar 08 2025 |
R-4.5-linux | OK | Mar 08 2025 |
R-4.4-win | OK | Mar 08 2025 |
R-4.4-mac | OK | Mar 08 2025 |
R-4.4-linux | OK | Mar 08 2025 |
R-4.3-win | OK | Mar 08 2025 |
R-4.3-mac | OK | Mar 08 2025 |
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.NLMEcheckmateclassclassIntclicliprcolorspacecolourpickercommonmarkcpp11crayoncrosstalkcurldata.tabledigestdplyrDTe1071eggellipsisevaluatefansifarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverforcatsfsgdtoolsgenericsGGallyggforceggplot2ggstatsgluegridExtragtablehighrhmshtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallearnrlifecyclemagrittrmarkdownMASSMatrixmemoisemgcvmimeminiUImunsellnlmeofficeropensslpatchworkpillarpkgconfigplotlyplyrpolyclipprettyunitsprocessxprogresspromisesproxypspurrrR.cacheR.methodsS3R.ooR.utilsR6raggrappdirsRColorBrewerRcppRcppEigenreadrrenvrlangrmarkdownrprojrootsassscalesshinyshinyAceshinyjquishinyjsshinymetashinyTreeshinyWidgetssortablesourcetoolsstringistringrstylersurvivalsyssystemfontstextshapingtibbletidyrtidyselecttinytextweenrtzdbutf8uuidvctrsviridisLitevpcvroomwithrxfunxml2xposextableyamlzip
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 |