sjPlot: Data Visualization for Statistics in Social Science

Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.

Version:	2.8.4
Depends:	R (≥ 3.2)
Imports:	graphics, grDevices, stats, utils, bayestestR (≥ 0.6.0), dplyr (≥ 0.8.1), effectsize, ggeffects (≥ 0.14.3), ggplot2 (≥ 3.2.0), knitr, insight (≥ 0.8.0), MASS, parameters (≥ 0.7.0), performance (≥ 0.4.3), purrr, rlang, scales, sjlabelled (≥ 1.1.2), sjmisc (≥ 2.8.2), sjstats (≥ 0.17.8), tidyr (≥ 1.0.0)
Suggests:	brms, car, clubSandwich, cluster, cowplot, GPArotation, ggrepel, glmmTMB, gridExtra, ggridges, httr, lme4 (≥ 1.1-12), nFactors, pscl, psych, rmarkdown, rstanarm, sandwich, survey, TMB, testthat
Published:	2020-05-24
Author:	Daniel Lüdecke [aut, cre], Alexander Bartel [ctb], Carsten Schwemmer [ctb], Chuck Powell [ctb], Amir Djalovski [ctb]
Maintainer:	Daniel Lüdecke <d.luedecke at uke.de>
BugReports:	https://github.com/strengejacke/sjPlot/issues
License:	GPL-3
URL:	https://strengejacke.github.io/sjPlot/
NeedsCompilation:	no
Citation:	sjPlot citation info
Materials:	README NEWS
CRAN checks:	sjPlot results

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