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.

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>.

When exploring data or models we often examine variables one by one. 
  This analysis is incomplete if the relationship between these variables is 
  not taken into account. The 'corrgrapher' package facilitates simultaneous 
  exploration of the Partial Dependence Profiles and the correlation between 
  variables in the model.
  The package 'corrgrapher' is a part of the 'DrWhy.AI' universe.

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>.