A rich hierarchy of sparse and dense matrix classes,
	including general, symmetric, triangular, and diagonal matrices
	with numeric, logical, or pattern entries.  Efficient methods for
	operating on such matrices, often wrapping the 'BLAS', 'LAPACK',
	and 'SuiteSparse' libraries.

A collection of functions to support matrix calculations
        for probability, econometric and numerical analysis. There are
        additional functions that are comparable to APL functions which
        are useful for actuarial models such as pension mathematics.
        This package is used for teaching and research purposes at the
        Department of Finance and Risk Engineering, New York
        University, Polytechnic Institute, Brooklyn, NY 11201.
        Horn, R.A. (1990) Matrix Analysis. ISBN 978-0521386326.
        Lancaster, P. (1969) Theory of Matrices. ISBN 978-0124355507.
        Lay, D.C. (1995) Linear Algebra: And Its Applications. ISBN 978-0201845563.

Compute correlation and other association matrices from
    small to high-dimensional datasets with relative simple 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. Supports Pearson, Spearman, Kendall, distance correlation,
    partial correlation, and robust biweight mid-correlation; Bland–Altman
    analyses and Lin's concordance correlation coefficient (including
    repeated-measures extensions). 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>.

Computation and visualization of matrix correlation coefficients.
    The main method is the Similarity of Matrices Index, while various related
    measures like r1, r2, r3, r4, Yanai's GCD, RV, RV2, adjusted RV, Rozeboom's
    linear correlation and Coxhead's coefficient are included
    for comparison and flexibility.