Contains functions for random generation of R x C and 2 x 2 x K contingency tables. In addition to the generation of contingency tables over predetermined intraclass-correlated clusters, it is possible to generate contingency tables without intraclass correlations under product multinomial, multinomial, and Poisson sampling plans. It also consists of a function for generation of random data from a given discrete probability distribution function. See Demirhan (2016) <https://journal.r-project.org/archive/2016-1/demirhan.pdf> for more information.

Reporting tables often have structure that goes beyond simple
    rectangular data. The 'rtables' package provides a framework for
    declaring complex multi-level tabulations and then applying them to
    data. This framework models both tabulation and the resulting tables
    as hierarchical, tree-like objects which support sibling sub-tables,
    arbitrary splitting or grouping of data in row and column dimensions,
    cells containing multiple values, and the concept of contextual
    summary computations. A convenient pipe-able interface is provided for
    declaring table layouts and the corresponding computations, and then
    applying them to data.

Applies a given global-fit method to random partial tanglegrams of a fixed size
             to identify the associations, terminals, and nodes that maximize phylogenetic
             (in)congruence. It also includes functions to compute more easily the confidence
             intervals of classification metrics and plot results, reducing computational time.
             See Llaberia-Robledillo et al., (2023) <doi:10.1093/sysbio/syad016>.

Storing huge data in RData format causes problems because
        of the necessity to load the whole file to the memory in order
        to access and manipulate objects inside such file; rtape is a
        simple solution to this problem. The package contains several
        wrappers of R built-in serialize/unserialize mechanism allowing
        user to quickly append objects to a tape-like file and later
        iterate over them requiring only one copy of each stored object
        to reside in memory a time.