Changes in version 0.2.0 (2026-06-24)                  

New Features

  - Added robust correlation methods: biweight midcorrelation,
    percentage bend correlation (WRS2), and Winsorized correlation
    (WRS2).
  - Added ordinal correlation methods: polychoric and tetrachoric
    correlation (psych).
  - Added partial correlation methods: partial correlation and
    semi-partial correlation (ppcor), controlled via the new z
    parameter.
  - Added nonparametric methods: ball correlation (Ball) and
    Bergsma-Dassios tau* (TauStar).
  - Added moderncor_cat() for categorical association measures: Cramer's
    V, phi coefficient, Goodman-Kruskal gamma, Somers' D, contingency
    coefficient, and Tschuprow's T (all via DescTools).
  - Added available_methods_cat() to list all supported categorical
    methods.

Changes

  - Removed dependency on WGCNA (Bioconductor). Biweight midcorrelation
    is now computed using a built-in implementation of the standard
    formula (Wilcox 2012), eliminating the need for
    Additional_repositories.
  - Version bumped to 0.2.0 to reflect the substantial addition of
    Phase 2 methods.

                        Changes in version 0.1.0                        

  - Initial release of the moderncor package.
  - Provided a single entry point moderncor() to compute 9 classical and
    modern association measures: Pearson, Spearman, Kendall, distance
    correlation, MIC, HSIC, Chatterjee's xi, Hoeffding's D, and mutual
    information.
  - Standardized S3 class "moderncor" with printing, summary, and
    as.data.frame methods.
  - Supported fast execution by allowing users to toggle p-value
    calculations (p_value = FALSE) to skip slow permutation tests.
  - Implemented utility functions available_methods() and method_info()
    to explore supported algorithms.
  - Configured graceful dependency handling for suggested packages via
    check_suggested().