Man pages for matrixCorr
Collection of Correlation and Association Estimators

abort_bad_argAbort with a standardised argument error
abort_internalAbort for internal errors (should not happen)
as.data.frame.corr_edge_listEdge-list data-frame view
baBland-Altman statistics with confidence intervals
ba_rmBland-Altman for repeated measurements
bicorBiweight mid-correlation (bicor)
biserialBiserial Correlation Between Continuous and Binary Variables
build_LDZbuild_LDZ
cash-.summary.corr_resultSummary Accessor for Correlation Summaries
cccPairwise Lin's concordance correlation coefficient
ccc_lmm_reml_pairwiseccc_lmm_reml_pairwise
ccc_rm_remlConcordance Correlation via REML (Linear Mixed-Effects Model)
ccc_rm_ustatRepeated-Measures Lin's Concordance Correlation Coefficient...
check_ar1_rhoCheck AR(1) correlation parameter
check_boolCheck a single logical flag
check_inheritsCheck object class
check_matrix_dimsCheck matrix dimensions
check_prob_scalarCheck probability in unit interval
check_required_colsCheck that a data frame contains required columns
check_same_lengthCheck that two vectors have the same length
check_scalar_characterCheck scalar character (non-empty)
check_scalar_int_posCheck strictly positive scalar integer
check_scalar_nonnegCheck a non-negative scalar (>= 0)
check_scalar_numericCheck scalar numeric (with optional bounds)
check_symmetric_matrixCheck matrix symmetry
check_weightsCheck weights vector (non-negative, finite, correct length)
compute_ci_from_secompute_ci_from_se
dcorPairwise Distance Correlation (dCor)
deprecated-matrixCorrDeprecated Compatibility Wrappers
dot-align_weights_to_levelsAlign (optional named) weights to a subset of time levels
dot-ba_rep_two_methodstwo-method helper
dot-vc_message.vc_message
estimate_rhoestimate_rho
iccIntraclass Correlation for Wide Data
icc_rm_remlRepeated-Measures Intraclass Correlation via REML
inform_if_verboseInform only when verbose
kendall_tauPairwise (or Two-Vector) Kendall's Tau Rank Correlation
match_argMatch argument to allowed values
matrixCorr-internalValidation and normalisation for correlation
matrixCorr-packagematrixCorr
num_or_nanum_or_na
num_or_na_vecnum_or_na_vec
pbcorPercentage bend correlation
pcorrPartial correlation matrix (sample / ridge / OAS / graphical...
pearson_corrPairwise Pearson correlation
plot.corr_edge_listS3 Plot for Edge-List Correlation Results
plot.corr_matrixS3 Plot for Dense Correlation Results
plot.corr_packed_upperS3 Plot for Packed-Upper Correlation Results
plot.corr_sparseS3 Plot for Sparse Correlation Results
polychoricPairwise Polychoric Correlation
polyserialPolyserial Correlation Between Continuous and Ordinal...
print.ccc_ciS3 print for legacy class 'ccc_ci'
print.corr_edge_listPrint Edge-List Correlation Results
print.corr_packed_upperPrint Packed-Upper Correlation Results
print.matrixCorr_cccPrint method for matrixCorr CCC objects
print.matrixCorr_ccc_ciPrint method for matrixCorr CCC objects with CIs
print.summary.corr_resultPrint Standardized Correlation Summaries
print.summary.latent_corrSummary Method for Latent Correlation Matrices
print.summary.matrixCorrSummary Method for Correlation Matrices
rmcorrRepeated-Measures Correlation (rmcorr)
rmcorr_matrix_methodsMethods for rmcorr Matrix Objects
rmcorr_methodsMethods for Pairwise rmcorr Objects
run_cpprun_cpp
shrinkage_corrShrinkage Correlation
skipped_corrPairwise skipped correlation
spearman_rhoPairwise Spearman's rank correlation
sub-sub-.summary.corr_resultSummary Accessor for Correlation Summaries
summary.ccc_rm_remlSummary Method for 'ccc_rm_reml' Objects
summary.corr_edge_listS3 Summary for Edge-List Correlation Results
summary.corr_matrixS3 Summary for Dense Correlation Results
summary.corr_packed_upperS3 Summary for Packed-Upper Correlation Results
summary.corr_sparseS3 Summary for Sparse Correlation Results
tetrachoricPairwise Tetrachoric Correlation
view_corr_shinyInteractive Shiny viewer for matrixCorr objects
view_rmcorr_shinyInteractive Shiny Viewer for Repeated-Measures Correlation
wincorPairwise Winsorized correlation
matrixCorr documentation built on April 18, 2026, 5:06 p.m.