{ "_id": "6a1c09511d7bb097a0a2c6e5", "Package": "matrixCorr", "Type": "Package", "Title": "Collection of Correlation, Agreement, and Reliability Estimators", "Version": "0.12.2", "Authors@R": "c(\nperson(\ngiven = \"Thiago de Paula\",\nfamily = \"Oliveira\",\nemail = \"thiago.paula.oliveira@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-4555-2584\")\n)\n)", "Author": "Thiago de Paula Oliveira [aut, cre]\n()", "Maintainer": "Thiago de Paula Oliveira ", "Description": "Compute correlation, association, agreement, and\nreliability measures for small to high-dimensional datasets\nthrough a consistent matrix-oriented interface. Supports\nclassical correlations (Pearson, Spearman, Kendall,\nChatterjee's rank correlation), distance correlation, partial\ncorrelation with regularised estimators, shrinkage correlation\nfor p >= n settings, robust correlations including biweight\nmid-correlation, percentage-bend, Winsorized, and skipped\ncorrelation, latent-variable methods for binary and ordinal\ndata, pairwise and overall intraclass correlation for wide\ndata, repeated-measures correlation, and agreement/reliability\nanalyses based on Cohen's kappa, weighted kappa, multi-rater\nkappa, Gwet's AC1/AC2, Krippendorff's alpha, Bland-Altman\nmethods, Lin's concordance correlation coefficient, Poisson\nGLMM concordance for count data, and repeated-measures\nintraclass/concordance correlation. Implemented with optimized\nC++ backends using BLAS/OpenMP and memory-aware symmetric\nupdates, and returns standard R objects with print/summary/plot\nmethods plus optional Shiny viewers for matrix inspection.\nMethods based on Ledoit and Wolf (2004)\n; high-dimensional shrinkage\ncovariance estimation ; Lin (1989)\n; Wilcox (1994) ;\nWilcox (2004) ; Hayes and\nKrippendorff (2007) ; weighted\nrepeated-measures correlation by Kondo et al. 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Reliability Coefficient", "topics": [ "krippendorff_alpha", "plot.krippendorff_alpha", "print.krippendorff_alpha", "print.summary.krippendorff_alpha", "summary.krippendorff_alpha" ] }, { "page": "multirater_kappa", "title": "Multi-Rater Kappa for Nominal Ratings", "topics": [ "multirater_kappa", "plot.multirater_kappa", "print.multirater_kappa", "print.summary.multirater_kappa", "summary.multirater_kappa" ] }, { "page": "pbcor", "title": "Percentage bend correlation", "topics": [ "pbcor", "plot.pbcor", "print.pbcor", "print.summary.pbcor", "summary.pbcor" ] }, { "page": "pcorr", "title": "Partial correlation matrix (sample / ridge / OAS / graphical lasso)", "topics": [ "pcorr", "plot.partial_corr", "print.partial_corr", "print.summary.partial_corr", "summary.partial_corr" ] }, { "page": "pearson_corr", "title": "Pairwise Pearson correlation", "topics": [ "pearson_corr", "plot.pearson_corr", "print.pearson_corr", "print.summary.pearson_corr", "summary.pearson_corr" ] }, { "page": "plot.corr_edge_list", "title": "S3 Plot for Edge-List Correlation Results", "topics": [ "plot.corr_edge_list" ] }, { "page": "plot.corr_matrix", "title": "S3 Plot for Dense Correlation Results", "topics": [ "plot.corr_matrix" ] }, { "page": "plot.corr_sparse", "title": "S3 Plot for Sparse Correlation Results", "topics": [ "plot.corr_sparse" ] }, { "page": "plot.prob_agree", "title": "Plot probability-of-agreement results", "topics": [ "plot.prob_agree" ] }, { "page": "polychoric", "title": "Pairwise Polychoric Correlation", "topics": [ "plot.polychoric_corr", "polychoric", "print.polychoric_corr", "print.summary.polychoric_corr", "summary.polychoric_corr" ] }, { "page": "polyserial", "title": "Polyserial Correlation Between Continuous and Ordinal Variables", "topics": [ "plot.polyserial_corr", "polyserial", "print.polyserial_corr", "print.summary.polyserial_corr", "summary.polyserial_corr" ] }, { "page": "print.ccc_ci", "title": "S3 print for legacy class 'ccc_ci'", "topics": [ "print.ccc_ci" ] }, { "page": "print.corr_edge_list", "title": "Print Edge-List Correlation Results", "topics": [ "print.corr_edge_list" ] }, { "page": "print.matrixCorr_ccc", "title": "Print method for matrixCorr CCC objects", "topics": [ "print.matrixCorr_ccc" ] }, { "page": "print.matrixCorr_ccc_ci", "title": "Print method for matrixCorr CCC objects with CIs", "topics": [ "print.matrixCorr_ccc_ci" ] }, { "page": "rmcorr_methods", "title": "Methods for Pairwise rmcorr Objects", "topics": [ "plot.rmcorr", "print.rmcorr", "print.summary.rmcorr", "summary.rmcorr" ] }, { "page": "rmcorr_matrix_methods", "title": "Methods for rmcorr Matrix Objects", "topics": [ "plot.rmcorr_matrix", "print.rmcorr_matrix", "print.summary.rmcorr_matrix", "summary.rmcorr_matrix" ] }, { "page": "print.summary.corr_result", "title": "Print Standardized Correlation Summaries", "topics": [ "print.summary.corr_result" ] }, { "page": "print.summary.latent_corr", "title": "Summary Method for Latent Correlation Matrices", "topics": [ "print.summary.latent_corr" ] }, { "page": "print.summary.matrixCorr", "title": "Summary Method for Correlation Matrices", "topics": [ "print.summary.matrixCorr" ] }, { "page": "prob_agree", "title": "Probability of Agreement for Reliability Curves", "topics": [ "prob_agree" ] }, { "page": "rmcorr", "title": "Repeated-Measures Correlation (rmcorr)", "topics": [ "rmcorr", "rmcorr_weighted" ] }, { "page": "robust_dcor", "title": "Robust Distance Correlation", "topics": [ "plot.robust_dcor", "print.robust_dcor", "robust_dcor", "summary.robust_dcor" ] }, { "page": "shrinkage_corr", "title": "Shrinkage Correlation", "topics": [ "plot.schafer_corr", "plot.shrinkage_corr", "print.schafer_corr", "print.shrinkage_corr", "schafer_corr", "shrinkage_corr", "summary.schafer_corr", "summary.shrinkage_corr" ] }, { "page": "skipped_corr", "title": "Pairwise skipped correlation", "topics": [ "plot.skipped_corr", "print.skipped_corr", "print.summary.skipped_corr", "skipped_corr", "skipped_corr_masks", "summary.skipped_corr" ] }, { "page": "spearman_rho", "title": "Pairwise Spearman's rank correlation", "topics": [ "plot.spearman_rho", "print.spearman_rho", "print.summary.spearman_rho", "spearman_rho", "summary.spearman_rho" ] }, { "page": "summary.ccc_rm_reml", "title": "Summary Method for 'ccc_rm_reml' Objects", "topics": [ "print.summary.ccc_rm_reml", "summary.ccc_rm_reml" ] }, { "page": "summary.corr_edge_list", "title": "S3 Summary for Edge-List Correlation Results", "topics": [ "summary.corr_edge_list" ] }, { "page": "summary.corr_matrix", "title": "S3 Summary for Dense Correlation Results", "topics": [ "summary.corr_matrix" ] }, { "page": "summary.corr_sparse", "title": "S3 Summary for Sparse Correlation Results", "topics": [ "summary.corr_sparse" ] }, { "page": "tetrachoric", "title": "Pairwise Tetrachoric Correlation", "topics": [ "plot.tetrachoric_corr", "print.summary.tetrachoric_corr", "print.tetrachoric_corr", "summary.tetrachoric_corr", 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