https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://materialui.co/>. References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.">

see: Model Visualisation Toolbox for 'easystats' and 'ggplot2' (original) (raw)

Provides plotting utilities supporting packages in the 'easystats' ecosystem (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://materialui.co/>. References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.

Version: 0.9.0
Depends: graphics, grDevices, R (≥ 4.0), stats
Imports: bayestestR (≥ 0.14.0), correlation (≥ 0.8.5), datawizard (≥ 0.12.3), effectsize (≥ 0.8.9), ggplot2, insight (≥ 0.20.4), modelbased (≥ 0.8.8), parameters (≥ 0.22.1), performance (≥ 0.12.3)
Suggests: BH, brms, curl, DHARMa, emmeans, factoextra, ggdag, ggdist, ggraph, ggrepel, ggridges, ggside, glmmTMB, grid, httr, httr2, lavaan, lme4, logspline, MASS, mclust, merDeriv, mgcv, metafor, NbClust, nFactors, patchwork (≥ 1.2.0), poorman, psych, qqplotr (≥ 0.0.6), randomForest, RcppEigen, rlang, rmarkdown, rstanarm, scales (≥ 1.3.0), splines, testthat (≥ 3.2.1), tidygraph, vdiffr (≥ 1.0.7)
Published: 2024-09-06
DOI: 10.32614/CRAN.package.see
Author: Daniel Lüdecke ORCID iD [aut, ctb] (@strengejacke), Dominique MakowskiORCID iD [aut, inv] (@Dom_Makowski), Indrajeet Patil ORCID iD [aut, cre] (@patilindrajeets), Mattan S. Ben-ShacharORCID iD [aut, ctb] (@mattansb), Brenton M. WiernikORCID iD [aut, ctb], Philip Waggoner ORCID iD [aut, ctb], Jeffrey R. StevensORCID iD [ctb], Matthew Smith [rev] (@SmithMatt90), Jakob Bossek [rev] (@BossekJakob)
Maintainer: Indrajeet Patil <patilindrajeet.science at gmail.com>
BugReports: https://github.com/easystats/see/issues
License: MIT + file
URL: https://easystats.github.io/see/
NeedsCompilation: no
Language: en-US
Citation: see citation info
Materials: NEWS
CRAN checks: see results

Documentation:

Downloads:

Reverse dependencies:

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

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