Facilitates making a connection to the 
  'Revulytics' API and executing various queries. You can use it to
  get event data and metadata. The Revulytics documentation 
  is available at <https://docs.revenera.com/ui560/report/>. This
  package is not supported by 'Flexera' (owner of the software).

Diagnostics and data preparation for random effects within estimator, random effects 
    within-idiosyncratic estimator, between-within-idiosyncratic model, and cross-classified between model.
    Mundlak, Yair (1978) <doi:10.2307/1913646>.
    Hausman, Jeffrey (1978) <doi:10.2307/1913827>.
    Allison, Paul (2009) <doi:10.4135/9781412993869>.
    Neuhaus, J.M., and J. D. Kalbfleisch (1998) <doi:10.2307/3109770>.

A friendly interface for the construction of regular
    expressions.

The main purpose of this package is to streamline the
    generation of exams that include random elements in exercises.
    Exercises can be defined in a table, based on text and figures, and
    may contain gaps to be filled with provided options. Exam documents
    can be generated in various formats. It allows us to generate a
    version for conducting the assessment and another version that
    facilitates correction, linked through a code.

Provides convenience functions to communicate with
    an Experigen server: Experigen (<http://github.com/aquincum/experigen>)
    is an online framework for creating  linguistic experiments,
    and it stores the results on a dedicated server. This package can be
    used to retrieve the results from the server, and it is especially
    helpful with registered experiments, as authentication with the server
    has to happen.

Wraps some of the matrix exponentiation 
        utilities from EXPOKIT (<http://www.maths.uq.edu.au/expokit/>), 
        a FORTRAN library that is widely recommended for matrix 
        exponentiation (Sidje RB, 1998. "Expokit: A Software Package
        for Computing Matrix Exponentials." ACM Trans. Math. Softw.
        24(1): 130-156).  EXPOKIT includes functions for 
        exponentiating both small, dense matrices, and large, sparse
        matrices (in sparse matrices, most of the cells have value 0).
        Rapid matrix exponentiation is useful in phylogenetics when we 
        have a large number of states (as we do when we are inferring 
        the history of transitions between the possible geographic 
        ranges of a species), but is probably useful in other ways as 
        well. NOTE: In case FORTRAN checks temporarily get rexpokit 
        archived on CRAN, see archived binaries at GitHub in: 
        nmatzke/Matzke_R_binaries (binaries install without compilation 
        of source code).