p3d 0.1.0

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.