Changes in version 0.1.0 (2026-10-24)                  

Initial release

Core functions

  - p_surface(): Compute the p-value surface of a single-sample t-test
    as a function of effect size (d) and sample size (n).
  - p_curve_2d(): Compute a 2D p-value curve for a fixed sample size,
    for comparison with existing 2D packages.

Visualization

  - plot_p_surface(): Interactive 3D visualization of the p-value
    surface, with engines for rgl (native window) and plotly (HTML
    widget).
  - plot_p_static(): Static 3D perspective plot using base R graphics
    (persp), with no external dependencies.

Documentation

  - Vignette p3d-intro: Introduction to the package with usage examples
    and a real-data application (mtcars).
  - Vignette p3d-comparison: Comparison of 2D and 3D p-value
    visualizations, including the moderating effect of sample size.

Testing

  - 29 unit tests covering all functions.
  - Monte Carlo verification against t.test().

Performance

  - p_surface() computes a 60,100-cell grid in ~0.02 seconds (~3 million
    p-values per second).
  - Memory usage is under 3 MB for the largest grids.