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Produces an Odds Ratio (OR) Plot to visualise the result of a logistic regression analysis. Provide it with a binomial regression model produced by 'glm()' and it will convert the estimates to odds ratios with a 95% confidence interval and plot the results using 'ggplot2'.
Version: | 0.5.1 |
Imports: | broom, dplyr, ggplot2, glue, purrr, scales, stats, tidyselect |
Suggests: | datasets, forcats, knitr, labelled, rmarkdown, testthat (≥ 3.0.0), tidyr |
Published: | 2024-09-27 |
DOI: | 10.32614/CRAN.package.plotor |
Author: | Craig Parylo [aut, cre, cph] |
Maintainer: | Craig Parylo <craig.parylo2 at nhs.net> |
BugReports: | https://github.com/craig-parylo/plotor/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/craig-parylo/plotor, https://craig-parylo.github.io/plotor/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | plotor results |
Reference manual: | plotor.pdf |
Vignettes: |
Using plotor (source, R code) |
Package source: | plotor_0.5.1.tar.gz |
Windows binaries: | r-devel: plotor_0.5.1.zip, r-release: plotor_0.5.1.zip, r-oldrel: plotor_0.5.1.zip |
macOS binaries: | r-release (arm64): plotor_0.5.1.tgz, r-oldrel (arm64): plotor_0.5.1.tgz, r-release (x86_64): plotor_0.5.1.tgz, r-oldrel (x86_64): plotor_0.5.1.tgz |
Old sources: | plotor archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.