Changes in version 0.2.1 (2026-04-28)                  

  - Resubmission of 0.2.0 to address build artifacts flagged by CRAN
    pretest. No functional changes; the only difference is .Rbuildignore
    excluding helper scripts (_submit.R, .cran_submit.R) generated by
    the release tooling.

                        Changes in version 0.2.0                        

Breaking changes

  - analyze_diversity() no longer produces diversity_best_gen_plot,
    diversity_best_gr_plot, diversity_best_gen_table,
    diversity_best_gr_table. The Top-k strains ranking path has been
    removed; use the per-diversity-level plots instead.

New features

  - New exported function plot_growth_scatter(.Object, remove_outliers,
    outlier_coef) renders the LogPhase-vs-NGen scatter on demand. When
    remove_outliers = TRUE, points above the Tukey IQR threshold in
    either axis are hidden and a subtitle reports the hidden count.
  - plot_processed_curves() now draws the y-axis on a log10 scale with
    fine breaks. Non-positive OD values are dropped (consistent with the
    log transform).
  - Per-strain cooperator/cheater/neutral badges are drawn below each
    facet in the plots produced by analyze_social_behavior() when
    summarize_social_behavior() has run.
  - summarize_social_behavior() now stores stats_gen and stats_gr data
    frames in @resultados_analisis, containing per-strain medians,
    pairwise t-test p-values, and classification label.

Minor improvements

  - analyze_diversity() x-axis label changed to "Species richness in
    consortium".

                        Changes in version 0.1.0                        

  - Initial CRAN release.
  - S4 class bsocial with six slots for organizing consortia analysis
    data.
  - Growth parameter extraction via growthcurver (grofit available as
    optional backend).
  - Social behavior classification: cooperators, cheaters, and neutrals.
  - Diversity effect analysis relating consortium richness to fitness.
  - Stability analysis via coefficient of variation across replicates.
  - Biofilm assembly sequence finding using igraph shortest paths.
  - Two workflow paths: raw plate reader data or pre-processed (curated)
    parameters.