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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.predict.bean_ellipsoid() is now
documented under its canonical name (previously the help page was
generated as predict.ellipsoid_bean).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).tests/testthat/ test suite covering
find_env_resolution(), thin_env_nd(),
thin_env_center(), fit_ellipsoid() and
predict.bean_ellipsoid().\keyword{internal}).\dontrun{} examples that depended on missing
files with \donttest{} examples that use the shipped sample
data.prepare_bean() now uses match.arg() for
transform.R/globals.R (was carrying many unused
identifiers).print.bean_ellipsoid() output reformatted for
clarity..bean_ellipse_polygon() consolidates
the 2-D ellipse polygon code path used by both
fit_ellipsoid() and
plot.bean_ellipsoid().These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.