Changes in version 0.1.0 (2026-09-12)                  

First public release.

New functions

  - boxplot3d() and boxplot3d_interactive(): triaxial (three continuous
    variables) box plots comparing groups, with four whisker conventions
    (Tukey, fixed-percentile, mean +/- SD, letter-value). The
    _interactive() version draws a single rotatable 3D plotly scene with
    live controls (whisker convention, raw/standardized scale, 2D
    axis-pair panels, color-by any categorical column); boxplot3d()
    draws the same four conventions as three linked 2D projections using
    base graphics only.
  - boxplot3d_significance(): per-axis and joint (3D) significance
    testing to accompany the box plots above, combining a parametric
    test (Welch t-test/ANOVA per axis, MANOVA for the joint test) and a
    non-parametric test (Wilcoxon/Kruskal-Wallis per axis, a
    dependency-free permutation PERMANOVA for the joint test) in
    parallel.
  - ttest_plot(): a didactic 2D plot of the t-distribution density with
    the critical (rejection) region shaded and the observed t-statistic
    marked, from raw data or from a manual t/df pair.
  - ttest_plot3d(): two-group bivariate density comparison on two
    continuous variables, drawn as overlapping 3D density surfaces, with
    per-axis t-tests and a joint Hotelling's T-squared test.
  - manova_plot3d(): the >2-group generalization of ttest_plot3d(), with
    a one-way MANOVA omnibus test (Wilks' lambda) and Bonferroni, Tukey,
    Fisher's LSD, and Dunnett post-hoc comparisons.
  - chisq_plot3d(): association between two categorical variables as
    a 3D bar chart of standardized (Pearson) residuals, with
    Cochran's-rule and Simpson's-paradox (descriptive + formal
    Gail-Simon) diagnostics.
  - paired_plot3d(): repeated-measures/pre-post comparison on two
    continuous variables at once, with paired t-tests per variable and a
    joint paired Hotelling's T-squared test.
  - irt_plot3d(): Item Response Theory item calibration map (via mirt)
    drawing every item's characteristic curve(s) in 3D against a shared
    ability (theta) axis, with a linked ability/difficulty histogram
    panel.

Shared interactive features

  - Every plotly-based 3D function ships live, pre-computed controls
    (opacity, view/projection buttons, and function-specific selectors)
    that recompute instantly in the browser without calling R again.
  - chisq_plot3d() and irt_plot3d() additionally offer a "3D / 2D"
    orthographic view toggle and a lang = c("es", "en") argument
    translating every on-plot label, hover string, and message.

Documentation

  - An introductory vignette (vignette("visual-kaito")) covers all nine
    functions with runnable examples and a comparison to related
    packages (ggstatsplot, ggpubr, rstatix, effectsize, superb).
  - A citation entry (citation("visual.kaito")) via CITATION.cff and
    inst/CITATION, including a Zenodo DOI.