dotwhisker: Dot-and-Whisker Plots of Regression Results

Create quick and easy dot-and-whisker plots of regression results. It takes as input either (1) a coefficient table in standard form or (2) one (or a list of) fitted model objects (of any type that has methods implemented in the 'parameters' package). It returns 'ggplot' objects that can be further customized using tools from the 'ggplot2' package. The package also includes helper functions for tasks such as rescaling coefficients or relabeling predictor variables. See more methodological discussion of the visualization and data management methods used in this package in Kastellec and Leoni (2007) <doi:10.1017/S1537592707072209> and Gelman (2008) <doi:10.1002/sim.3107>.

Version: 0.8.3
Depends: R (≥ 3.2.0), ggplot2 (≥ 2.2.1)
Imports: grid, gtable, gridExtra, stats, parameters, performance, patchwork, dplyr, stringr, ggstance, rlang, purrr
Suggests: ordinal, tibble, knitr, rmarkdown, broom
Published: 2024-09-27
DOI: 10.32614/CRAN.package.dotwhisker
Author: Frederick Solt [aut], Yue Hu [aut, cre], Ben Bolker [ctb], Os Keyes [ctb], Stefan Müller [ctb], Thomas Leeper [ctb], Chris Wallace [ctb], Christopher Warshaw [ctb]
Maintainer: Yue Hu <yuehu at tsinghua.edu.cn>
BugReports: https://github.com/fsolt/dotwhisker/issues
License: MIT + file LICENSE
URL: https://fsolt.org/dotwhisker/
NeedsCompilation: no
Materials: NEWS
In views: MixedModels
CRAN checks: dotwhisker results

Documentation:

Reference manual: dotwhisker.pdf
Vignettes: dotwhisker: Dot-and-Whisker Plots of Regression Results (source, R code)
dotwhisker: Remaking the Examples from Kastellec and Leoni (2007) (source, R code)

Downloads:

Package source: dotwhisker_0.8.3.tar.gz
Windows binaries: r-devel: not available, r-release: dotwhisker_0.8.3.zip, r-oldrel: not available
macOS binaries: r-release (arm64): dotwhisker_0.8.3.tgz, r-oldrel (arm64): dotwhisker_0.8.3.tgz, r-release (x86_64): dotwhisker_0.8.3.tgz, r-oldrel (x86_64): dotwhisker_0.8.3.tgz
Old sources: dotwhisker archive

Reverse dependencies:

Reverse suggests: broom.mixed, glmmTMB

Linking:

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