Routines for the graphical representation of correlation matrices by means of correlograms, MDS maps and biplots obtained by PCA, PFA or WALS (weighted alternating least squares); See Graffelman & De Leeuw (2023) <doi: 10.1080/00031305.2023.2186952>.

A candidate correspondence table between two classifications can be created when there are correspondence tables leading from the first classification to the second one via intermediate 'pivot' classifications. 
    The correspondence table between two statistical classifications can be updated when one of the classifications gets updated to a new version.

Many correlation coefficient related functions are offered, such as correlations, partial correlations and hypothesis testing using asymptotic tests and computer intensive methods (bootstrap and permutation). References include Mardia K.V., Kent J.T. and Bibby J.M. (1979). "Multivariate Analysis". ISBN: 978-0124712522. London: Academic Press and Owen A. B. (2001). "Empirical likelihood". Chapman and Hall/CRC Press. ISBN: 9781584880714.

Calculates correlation of variables and displays the results
    graphically. Included panel functions can display points, shading, ellipses, and
    correlation values with confidence intervals. See Friendly (2002) <doi:10.1198/000313002533>.

Perform additional multiple testing procedure methods to p.adjust(), 
  such as weighted Hochberg (Tamhane, A. C., & Liu, L., 2008) <doi:10.1093/biomet/asn018>, 
  ICC adjusted Bonferroni method (Shi, Q., Pavey, E. S., & Carter, R. E., 2012)
  <doi:10.1002/pst.1514> and a new correlation corrected weighted Hochberg for correlated 
  endpoints.

Performs Correlated Meta-Analysis ('corrmeta') across multiple OMIC
        scans, accounting for hidden non-independencies between elements of the
        scans due to overlapping samples, related samples, or other information. 
        For more information about the method, refer to the paper
        Province MA. (2013) <doi:10.1142/9789814447973_0023>.

In clinical practice and research settings in medicine and the behavioral sciences, it is often of interest to quantify the correlation of a continuous endpoint that was repeatedly measured (e.g., test-retest correlations, ICC, etc.). This package allows for estimating these correlations based on mixed-effects models. Part of this software has been developed using funding provided from the European Union's 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.