bean 0.2.0

Major changes

find_env_resolution() no longer uses a geometric “elbow” rule on nearest- neighbour distances. It now selects a kernel-density bandwidth for each environmental variable using the Sheather-Jones plug-in estimator (default), with Silverman and Scott rules also available via the new method argument. The bandwidth is a statistically defensible choice for the edge length of an environmental grid cell, and the new implementation is faster and more robust to ties.
rgl is now a Suggests dependency rather than an Imports. 3-D plots still work when rgl is installed; otherwise plot.bean_ellipsoid() falls back to a 2-D view of the first two requested dimensions.
The S3 method predict.bean_ellipsoid() is now documented under its canonical name (previously the help page was generated as predict.ellipsoid_bean).
Vignettes have been reorganised:
- bean-overview — quickstart introduction.
- data-preparation — preparing rasters and occurrences.
- environmental-thinning — resolution selection and thinning.
- niche-modeling — fitting ellipsoids and projecting suitability. All vignettes now build without requiring rgl.

DESCRIPTION: trimmed Imports to MASS, stats, terra; moved rgl, ggplot2 and dplyr to Suggests (with dplyr removed entirely from the package — it was only used in one vignette).
Added a tests/testthat/ test suite covering find_env_resolution(), thin_env_nd(), thin_env_center(), fit_ellipsoid() and predict.bean_ellipsoid().
Datasets are now documented as user-visible (not \keyword{internal}).
Replaced \dontrun{} examples that depended on missing files with \donttest{} examples that use the shipped sample data.
prepare_bean() now uses match.arg() for transform.
Cleaned up R/globals.R (was carrying many unused identifiers).

print.bean_ellipsoid() output reformatted for clarity.
Internal helper .bean_ellipse_polygon() consolidates the 2-D ellipse polygon code path used by both fit_ellipsoid() and plot.bean_ellipsoid().