Package: matrixCorr
Type: Package
Title: Collection of Correlation, Agreement, and Reliability Estimators
Version: 0.12.3
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, including robust
        concordance based on minimum covariance determinant estimates.
        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),
        robustbase, cli, generics, rlang
Suggests: knitr, rmarkdown, MASS, mnormt, shiny, shinyWidgets,
        viridisLite, testthat (>= 3.0.0)
VignetteBuilder: knitr
Enhances: plotly
URL: https://github.com/Prof-ThiagoOliveira/matrixCorr
BugReports: https://github.com/Prof-ThiagoOliveira/matrixCorr/issues
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-10-28 12:20:29 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-28 08:50:12 UTC
RemoteUrl: https://github.com/cran/matrixCorr
RemoteRef: HEAD
RemoteSha: ac3e94886b9d5da1032a056bbdc7cdce3bd2eca0