klct v0.2.1

Plot improvements

• Significance brackets: plot_groups() now uses
  ggsignif::geom_signif() to draw proper comparison brackets between the
  two treatment groups, replacing the previous geom_text() approach that
  placed asterisks above individual group bars. Brackets appear only in
  facets with a significant result (P < 0.05). Pre-computed p-values
  (Welch's t-test or Wilcoxon) are passed through, keeping the test logic
  consistent with compare_groups().

• Data-driven y-axis limits: Removed expand_limits(y = 0) from both
  plot_groups() and plot_groups_2x2(). Axis limits are now determined
  automatically by ggplot based on the data range, which substantially
  improves readability for measures whose values are far from zero (e.g.,
  Ct.vBMD ~1074--1432, Ct.Ar/Tt.Ar ~97--100%).

• Facet wrapping for many measures: plot_groups() now caps facet
  columns at 5 per row (via ncol = min(n_measures, 5)) instead of forcing
  all facets into a single row. This prevents facet labels from being clipped
  when plotting the 9 default cortical measures. Trabecular plots (4 default
  measures) are unaffected.

Interactive data tables

• print_data(): New exported function that wraps DT::datatable() to
  display raw bone microCT data as interactive, sortable, searchable tables
  in the Data tabs of the R Markdown templates. Each sex is displayed as a
  separate table. Metadata columns (Animal ID, Site) are dropped and rows
  are ordered by treatment/genotype group.

Template changes

• Version stamp: All four R Markdown templates now include a statement in
  the Session Info section linking to the specific version of klct used to
  generate the report, with links to the pkgdown site and the corresponding
  GitHub release tag.

Dependencies

• Added ggsignif to Imports (for geom_signif() comparison brackets in
  plot_groups()).