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moderncor 0.2.0

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.

moderncor 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().

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.