Package: ec50estimator 1.0.0


Kaique dos S. Alves
ec50estimator: An Automated Way to Estimate EC50 for Stratified Datasets
Estimates effective concentrations that reduce growth by 50 percent (EC50) in multi-isolate and stratified dose-response experiments. The package wraps model fitting from drc, returns data-frame outputs, and provides helper functions for data checks, model selection, fitted-curve plotting, prediction, diagnostics, and reporting. Information about drc is available in Ritz C, Baty F, Streibig JC, Gerhard D (2015) <doi:10.1371/journal.pone.0146021>.
Authors:
ec50estimator_1.0.0.tar.gz
ec50estimator_1.0.0.zip(r-4.7)ec50estimator_1.0.0.zip(r-4.6)ec50estimator_1.0.0.zip(r-4.5)
ec50estimator_1.0.0.tgz(r-4.6-any)ec50estimator_1.0.0.tgz(r-4.5-any)
ec50estimator_1.0.0.tar.gz(r-4.7-any)ec50estimator_1.0.0.tar.gz(r-4.6-any)
ec50estimator_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ec50estimator/json (API)
NEWS
| # Install 'ec50estimator' in R: |
| install.packages('ec50estimator', repos = c('https://alvesks.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alvesks/ec50estimator/issues
Pkgdown/docs site:https://alvesks.github.io
- multi_isolate - Multi-isolate dose-response data
Last updated from:ed145d9e79. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 154 | ||
| source / vignettes | OK | 261 | ||
| linux-release-x86_64 | OK | 134 | ||
| macos-release-arm64 | OK | 93 | ||
| macos-oldrel-arm64 | OK | 117 | ||
| windows-devel | OK | 93 | ||
| windows-release | OK | 98 | ||
| windows-oldrel | OK | 96 | ||
| wasm-release | OK | 129 |
Exports:best_modelcheck_ec50_datacurve_dataec50_estimatesec50_metadataec50_multimodelestimate_EC50fit_failuresfit_qualityfitted_modelsmodel_selectionplot_EC50_curvesplot_residualspredict_ec50report_ec50residual_data
Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11DerivdoBydplyrdrcfarverforecastFormulafracdiffgenericsggplot2gluegtablegtoolsisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmultcompmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplotrixpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
Compare EC50 models
Rendered fromec50_multimodel.Rmdusingknitr::rmarkdownon May 25 2026.Last update: 2026-05-24
Started: 2026-04-26
Fit one EC50 model
Rendered fromestimate_EC50.Rmdusingknitr::rmarkdownon May 25 2026.Last update: 2026-05-24
Started: 2026-04-26
Get started with EC50 workflows
Rendered fromget-started.Rmdusingknitr::rmarkdownon May 25 2026.Last update: 2026-05-24
Started: 2026-05-24
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Check dose-response data before EC50 fitting | check_ec50_data |
| Extract information from fitted EC50 objects | curve_data ec50_estimates ec50_extractors ec50_metadata fitted_models |
| Estimate effective doses for grouped dose-response data | ec50_multimodel estimate_EC50 |
| Inspect EC50 fit quality and failures | fit_failures fit_quality |
| Select EC50 candidate models | best_model model_selection |
| Multi-isolate dose-response data | multi_isolate |
| Plot fitted dose-response curves for multiple isolates | plot_EC50_curves |
| Predict responses from fitted EC50 models | predict_ec50 |
| Build EC50 report tables | report_ec50 |
| Extract and plot EC50 residual diagnostics | plot_residuals residual_data |