matrixCorr: Collection of Correlation and Association Estimators

Compute correlation and other association matrices from small to very large datasets with simple, 'cor()'-like functions and sensible defaults. Includes options for shrinkage and robustness to improve results in noisy or high-dimensional settings (p >= n), plus convenient print/plot methods for inspection. Implemented with optimised 'C++' backends using 'BLAS'/'OpenMP' and memory-aware symmetric updates. Works with base matrices and data frames, returning standard 'R' objects via a consistent S3 interface. Useful across genomics, agriculture, and machine-learning workflows. Methods based on Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>; Schäfer and Strimmer (2005) <doi:10.2202/1544-6115.1175>; Lin (1989) <doi:10.2307/2532051>.

Version:	0.3.1
Imports:	Rcpp, ggplot2 (≥ 3.5.2)
LinkingTo:	cpp11, Rcpp, RcppArmadillo
Suggests:	knitr, rmarkdown, testthat, MASS, Matrix, viridisLite
Published:	2025-08-26
Author:	Thiago de Paula Oliveira [aut, cre]
Maintainer:	Thiago de Paula Oliveira <toliveira at abacusbio.com>
BugReports:	https://github.com/Prof-ThiagoOliveira/matrixCorr/issues
License:	MIT + file LICENSE
URL:	https://github.com/Prof-ThiagoOliveira/matrixCorr
NeedsCompilation:	yes
Materials:	README
CRAN checks:	matrixCorr results

Documentation:

Reference manual:

matrixCorr.html , matrixCorr.pdf

Downloads:

Package source:	matrixCorr_0.3.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): matrixCorr_0.3.1.tgz, r-oldrel (arm64): matrixCorr_0.3.1.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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