visual.kaito: Interactive 3D Visualizations for Group Comparisons

Draws interactive, rotatable statistical visualizations in three dimensions, built on 'plotly'. Two families of plots are provided. Triaxial box plots (boxplot3d(), boxplot3d_interactive()) compare groups on three continuous variables at once, with Tukey, fixed-percentile, mean +/- SD, and letter-value box/whisker conventions, plus parametric and non-parametric significance testing (per-axis and joint 3D via MANOVA / PERMANOVA). Bivariate density plots (ttest_plot3d(), manova_plot3d()) compare two or more groups on two continuous variables as overlapping 3D density surfaces, reporting per-axis t-tests together with a joint Hotelling's T-squared test (two groups), or a one-way MANOVA omnibus test with Bonferroni, Tukey, Fisher's LSD, and Dunnett post-hoc comparisons (more than two groups). All plots include live, pre-computed controls (view, method, scale, transparency) so results can be explored interactively without re-running R code.

Version:	0.1.0
Suggests:	htmlwidgets, knitr, mirt, multcomp, plotly, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-09-12
DOI:	10.32614/CRAN.package.visual.kaito (may not be active yet)
Author:	Armando González Sánchez [aut, cre]
Maintainer:	Armando González Sánchez <gygpsicologos at gmail.com>
BugReports:	https://github.com/gygpsicologos-eng/visual.kaito/issues
License:	MIT + file LICENSE
URL:	https://github.com/gygpsicologos-eng/visual.kaito
NeedsCompilation:	no
Citation:	visual.kaito citation info
Materials:	NEWS
CRAN checks:	visual.kaito results

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