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gg_cv() (cross-validation diagnostics),
gg_bootstrap() (confidence interval forest plot),
gg_weights() (weight sensitivity heatmap).villa_romana dataset: realistic 300-find Roman villa
with 4 phases, bioturbation, construction cuts, and residual
pottery.cv_sef(),
optimize_weights()).reorder_phases()
applied to each replicate before ARI computation, solving label
switching in confidence intervals.neighbourhood is set, energy is divided by actual neighbour
count instead of n-1, removing peripheral bias.feature_matrix() now
accepts external center/scale parameters and
preserves scaling attributes for proper cross-validation.adjusted_rand_index() and
confusion_matrix() for comparing estimated vs true
phases.us_summary_table() aggregates
diagnostics per stratigraphic unit;
phase_transition_matrix() reveals vertical phase ordering;
export_results() writes all results to CSV.harris_from_contexts()
auto-generates penalties from depth ordering; read_harris()
imports CSV edge lists; validate_phases_harris() checks
phase-stratigraphy consistency.gg_convergence() (EM trace),
gg_phase_profile() (depth vs phase),
gg_confusion() (confusion matrix heatmap with ARI).bootstrap_sef() for bootstrap confidence intervals on
PDI, entropy, energy, loglik, and ARI.cv_sef() for k-fold cross-validation of phase count
selection.optimize_weights() for data-driven SEI weight
estimation via grid search cross-validation.reorder_phases() relabels phases by mean depth (phase 1
= deepest/oldest) to solve label switching.sei_sparse() wrapper for sparse SEI computation on
large datasets (n > 1000).fit_sef() gains n_init parameter for
multiple random initialisations (default: 1). Best run by log-likelihood
is retained.fit_sef() default em_iter increased from
25 to 100 for better convergence.$converged flag in
sef_fit objects; warning issued on non-convergence.fit_sef() and compare_k() model selection
metrics.sei_matrix() gains max_dist parameter for
sparse computation (zeroes beyond threshold).sei_matrix() and ese() fully vectorized
(50-100x faster on large datasets).as_plotly() with
enriched archaeological tooltips (ID, context, phase, dating, class,
entropy, energy, intrusion probability).gg_* functions now embed tooltip data for seamless
plotly conversion.@examples,
@family, and @seealso for all exported
functions._pkgdown.yml for documentation website.cran-comments.md for CRAN submission.demo_easy,
demo_moderate, demo_compressed.summary.sef_fit() and
print.sef_fit() (NAMESPACE now uses S3method()
instead of export()).as_sf_phase() and as_sf_links() CRS
default (NA → NA_integer_) for compatibility
with sf >= 1.0.Authors@R in DESCRIPTION.LazyData field from DESCRIPTION.fit_sef().as_sf_links() and enhanced
as_sf_phase() with XY/XYZ support.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.
Health stats visible at Monitor.