Overview | When to use this function | Inputs | Minimal example | Diagnostic checks in detail | Binary outcome | Multicollinearity | Separation detection | Sample size sufficiency | Linearity in the logit | Influential observations | Interpreting results | Pass (✔) | Issue (✖) | Recommended actions by issue | Example: model with separation | Performance considerations | Speed vs. Robustness | Notes and limitations | Conclusion | See also
This package is considered a duplicate. The official version of this package is found at:https://craig-parylo.r-universe.dev/plotor
Package: plotor 1.1.0
Craig Parylo
plotor: Odds Ratio Tools for Logistic Regression
Produces odds ratio analyses with comprehensive reporting tools. Generates plots, summary tables, and diagnostic checks for logistic regression models fitted with 'glm()' using binomial family. Provides visualisation methods, formatted reporting tables via 'gt', and tools to assess logistic regression model assumptions.
Authors:
plotor_1.1.0.tar.gz
plotor_1.1.0.tar.gz(r-4.7-any)plotor_1.1.0.tar.gz(r-4.6-any)
plotor_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
plotor/json (API)
| # Install 'plotor' in R: |
| install.packages('plotor', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/craig-parylo/plotor/issues
Pkgdown/docs site:https://craig-parylo.github.io
Last updated from:c579e47cb0. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 205 | ||
| source / vignettes | OK | 250 | ||
| linux-release-x86_64 | OK | 220 | ||
| wasm-release | OK | 168 |
Exports:check_orplot_ortable_or
Dependencies:abindbackportsbase64encbigDbitopsbootbroombslibcachemcallrcarcarDatacheckmateclicolorspacecommonmarkcowplotcpp11curlDerivdescdetectseparationdigestdoBydplyrevaluatefarverfastmapfontawesomeforcatsforecastFormulafracdifffsgenericsggplot2gluegtgtablegtExtrashighrhmshtmltoolshtmlwidgetsisobandjanitorjquerylibjsonlitejuicyjuiceknitrlabelinglatticelifecyclelitedownlme4lmtestlpSolveAPIlubridatemagrittrmarkdownMASSMatrixMatrixModelsmemoisemgcvmimeminqamodelrnlmenloptrnnetnumDerivotelpaletteerpbkrtestpillarpkgbuildpkgconfigpkgloadprettyunitsprismaticprocessxpspurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreactablereactRreformulasregistryrematch2rlangrmarkdownROIROI.plugin.lpsolverprojrootrstudioapiS7sassscalesslamsnakecaseSparseMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytexurcautf8V8vctrsviridisLitewithrxfunxml2yamlzoo
check_or - Quick diagnostics
Last update: 2026-07-21
Started: 2026-07-21
plot_or: Forest plots for logistic regression
Overview | When to use this function | Quick example - minimal workflow | Output | Interpreting effect sizes | Interpreting confidence intervals | Exporting plots | Save as PNG (raster) | Save as PDF (vector) | Tips for publication-ready plots | Choose appropriate dimensions | Label predictors clearly | Notes and limitations | Conclusion | See also
Last update: 2026-07-21
Started: 2026-07-21
plotor - Quick start
What this vignette covers | Minimal reproducible example | Run diagnostics | Create a publication-ready table | Notes: | Forest plot of odds ratios | Quick interpretation | See also
Last update: 2026-07-21
Started: 2026-07-21
table_or - publication-ready odds ratio tables
Overview | When to use this function | Quick example - minimal workflow | Programmatic output (tibble) | Interpreting the results | Formatted HTML table (gt) | What the gt output includes | Understanding the footnotes | Common customisations | Change confidence level | Anonymise counts for sensitive data | Combine results from multiple models | Exporting tables | Export to HTML file | Export to Word document | Export to CSV (tibble) | Tips for publication | Conclusion | See also
Last update: 2026-07-21
Started: 2026-07-21
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Check OR | check_or |
| Plot OR | plot_or |
| Table OR | table_or |
