see: Model Visualisation Toolbox for 'easystats' and 'ggplot2'

Provides plotting utilities supporting easystats-packages (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://materialui.co/colors>.

Version: 0.7.2
Depends: graphics, grDevices, R (≥ 3.5), stats
Imports: bayestestR (≥ 0.12.1), datawizard (≥ 0.5), effectsize (≥ 0.7.0), ggplot2 (≥ 3.3.6), insight (≥ 0.18.0), parameters (≥ 0.18.1)
Suggests: brms, coda, correlation, emmeans, factoextra, ggdist, ggraph, ggrepel, ggridges, ggside, glmmTMB, grid, httr, lavaan, lme4, logspline, MASS, mclust, mgcv, metafor, modelbased, NbClust, nFactors, patchwork, performance (≥ 0.9.0), poorman, psych, qqplotr, randomForest, rmarkdown, rstanarm, scales (≥ 1.2.0), splines, testthat (≥ 3.1.0), tidygraph, vdiffr
Published: 2022-08-10
Author: Daniel Lüdecke ORCID iD [aut, cre] (@strengejacke), Dominique Makowski ORCID iD [aut, inv] (@Dom_Makowski), Indrajeet Patil ORCID iD [aut, ctb] (@patilindrajeets), Mattan S. Ben-Shachar ORCID iD [aut, ctb] (@mattansb), Brenton M. Wiernik ORCID iD [aut, ctb], Philip Waggoner ORCID iD [aut, ctb], Jeffrey R. Stevens ORCID iD [ctb], Matthew Smith [rev] (@SmithMatt90), Jakob Bossek [rev] (@BossekJakob)
Maintainer: Daniel Lüdecke <d.luedecke at uke.de>
BugReports: https://github.com/easystats/see/issues
License: GPL-3
URL: https://easystats.github.io/see/
NeedsCompilation: no
Language: en-US
Citation: see citation info
Materials: NEWS
CRAN checks: see results

Documentation:

Reference manual: see.pdf

Downloads:

Package source: see_0.7.2.tar.gz
Windows binaries: r-devel: see_0.7.2.zip, r-release: see_0.7.2.zip, r-oldrel: see_0.7.2.zip
macOS binaries: r-release (arm64): see_0.7.2.tgz, r-oldrel (arm64): see_0.7.2.tgz, r-release (x86_64): see_0.7.2.tgz, r-oldrel (x86_64): see_0.7.2.tgz
Old sources: see archive

Reverse dependencies:

Reverse imports: bruceR, easystats, jsmodule
Reverse suggests: afex, bayestestR, correlation, datawizard, effectsize, ggeffects, JSmediation, modelbased, parameters, performance, psycModel, pubh, regport

Linking:

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