Changes in version 0.1.0 (2026-07-02)                  

  - New dataset taiwanese_banks: a balanced panel of 22 Taiwanese
    commercial banks over 2009-2011 (Kao & Liu, 2014,
    \doi{10.1016/j.omega.2013.09.001}), used as the worked example for
    plot_panel_io_biplot().
  - plot_panel_io_biplot() now accepts inputs, outputs, id and period as
    integer column positions as well as names, and repels the
    loading-vector labels (via ggrepel) so they no longer overlap.
  - New x_angle argument on plot_io_parcoo(), plot_io_heatmap(),
    plot_cem_heatmap(), plot_cem_weights_heatmap() and
    plot_io_distributions() to rotate long x-axis tick labels for
    readability.
  - A single DMU passed to labels now fades the rest of the plot into a
    focus view (keeping the chosen DMU's sub-network / trajectory); the
    fade argument tunes the fade level or disables it.

  - First release: a from-scratch rebuild of the DEA-Viz visualization
    methods as an R package.
  - All functions are built on a single validated dea_data object and
    follow a compute_* / plot_* naming convention.
  - Analysis: compute_efficiency(), compute_cross_efficiency(),
    compute_cross_efficiency_weights(), standardize_weights(),
    compute_multiplier_weights(), compute_som().
  - Visualization: plot_efficiency_bar(), plot_efficiency_comparison(),
    plot_cross_efficiency(), plot_cem_unfolding(),
    plot_cross_efficiency_weights_heatmap(), plot_pca_biplot(),
    plot_mds(), plot_porembski_network(), plot_panel_biplot(),
    plot_som(), plot_som_components(), plot_costa_frontier(),
    plot_parallel_coordinates(), plot_3d_scatter(), plot_histograms(),
    plot_dotplots(), plot_pairwise_scatter(),
    plot_input_output_heatmap().
  - Ships the chinese_cities example dataset (35 cities, 3 inputs, 3
    outputs).
  - Consistent, colour-blind-safe visual style across all plots:
    Okabe-Ito qualitative palette, viridis sequential palette, and a
    shared minimal theme.