Provides R bindings for 'Tabulator JS' <https://tabulator.info/>.
  Makes it a breeze to create highly customizable interactive tables in 'rmarkdown' documents
  and 'shiny' applications. It includes filtering, grouping, editing, input validation,
  history recording, column formatters, packaged themes and more.

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.

Discretize AR(1) process following Tauchen (1986) <http://www.sciencedirect.com/science/article/pii/0165176586901680>. A discrete Markov chain that approximates in the sense of weak convergence a continuous-valued univariate Autoregressive process of first order is generated. It is a popular method used in economics and in finance.

We provide functions to perform taxometric analyses. This package contains 46 functions, but only 5 should be called directly by users. CheckData() should be run prior to any taxometric analysis to ensure that the data are appropriate for taxometric analysis. RunTaxometrics() performs taxometric analyses for a sample of data. RunCCFIProfile() performs a series of taxometric analyses to generate a CCFI profile. CreateData() generates a sample of categorical or dimensional data. ClassifyCases() assigns cases to groups using the base-rate classification method.