Package: matrixCorr
Type: Package
Title: Collection of Correlation, Agreement, and Reliability Estimators
Version: 0.12.2
Authors@R: c(
    person(
        given = "Thiago de Paula",
        family = "Oliveira",
        email = "thiago.paula.oliveira@gmail.com",
        role = c("aut", "cre"),
        comment = c(ORCID = "0000-0002-4555-2584")
    )
    )
Author: Thiago de Paula Oliveira [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-4555-2584>)
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@gmail.com>
Description: Compute correlation, association, agreement, and reliability
    measures for small to high-dimensional datasets through a consistent
    matrix-oriented interface. Supports classical correlations (Pearson,
    Spearman, Kendall, Chatterjee's rank correlation), distance correlation, partial correlation with
    regularised estimators, shrinkage correlation for p >= n settings, robust
    correlations including biweight mid-correlation, percentage-bend,
    Winsorized, and skipped correlation, latent-variable methods for binary
    and ordinal data, pairwise and overall intraclass correlation for wide
    data, repeated-measures correlation, and agreement/reliability analyses
    based on Cohen's kappa, weighted kappa, multi-rater kappa, Gwet's AC1/AC2,
    Krippendorff's alpha, Bland-Altman methods, Lin's concordance correlation
    coefficient, Poisson GLMM concordance for count data, and
    repeated-measures intraclass/concordance correlation.
    Implemented with optimized C++ backends using BLAS/OpenMP and memory-aware
    symmetric updates, and returns standard R objects with print/summary/plot
    methods plus optional Shiny viewers for matrix inspection. Methods based
    on Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>;
    high-dimensional shrinkage covariance estimation
    <doi:10.2202/1544-6115.1175>; Lin (1989) <doi:10.2307/2532051>; Wilcox
    (1994) <doi:10.1007/BF02294395>; Wilcox (2004)
    <doi:10.1080/0266476032000148821>; Hayes and Krippendorff (2007)
    <doi:10.1080/19312450709336664>; weighted repeated-measures correlation by
    Kondo et al. (2025) <doi:10.1002/sim.70046>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.4.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp (>= 1.1.0), ggplot2 (>= 3.5.2), Matrix (>= 1.7.2), cli,
        generics, rlang
Suggests: knitr, rmarkdown, MASS, mnormt, shiny, shinyWidgets,
        viridisLite, testthat (>= 3.0.0)
VignetteBuilder: knitr
Enhances: plotly
RoxygenNote: 7.3.3
URL: https://github.com/Prof-ThiagoOliveira/matrixCorr
BugReports: https://github.com/Prof-ThiagoOliveira/matrixCorr/issues
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-05-31 12:40:49 UTC; ThiagoOliveira
Repository: CRAN
Date/Publication: 2026-05-31 15:00:18 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-05-31 19:12:08 UTC; unix
Archs: matrixCorr.so.dSYM
