This model fitting tool incorporates cyclic coordinate descent and
    majorization-minimization approaches to fit a variety of regression models
    found in large-scale observational healthcare data.  Implementations focus
    on computational optimization and fine-scale parallelization to yield
    efficient inference in massive datasets.  Please see:
    Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.

The cyclotomic numbers are complex numbers that can be
    thought of as the rational numbers extended with the roots of unity. They
    are represented exactly, enabling exact computations. They contain the
    Gaussian rationals (complex numbers with rational real and imaginary
    parts) as well as the square roots of all rational numbers. They also
    contain the sine and cosine of all rational multiples of pi. The
    algorithms implemented in this package are taken from the 'Haskell'
    package 'cyclotomic', whose algorithms are adapted from code by Martin
    Schoenert and Thomas Breuer in the 'GAP' project
    (<https://www.gap-system.org/>). Cyclotomic numbers have applications in
    number theory, algebraic geometry, algebraic number theory, coding 
    theory, and in the theory of graphs and combinatorics. They have 
    connections to the theory of modular functions and modular curves.

Wraps cytoscape.js as a shiny widget. cytoscape.js <https://js.cytoscape.org/> is a Javascript-based graph theory (network) library for visualization and analysis. This package supports the visualization of networks with custom visual styles and several available layouts. Demo Shiny applications are provided in the package code.

Classes (S4) of circular-linear, symmetric copulas with corresponding
    methods, extending the 'copula' package. These copulas are especially useful
    for modeling correlation in discrete-time movement data. Methods for density, 
    (conditional) distribution, random number generation, bivariate dependence
    measures and fitting parameters using maximum likelihood and other 
    approaches. The package also contains methods for visualizing movement data
    and copulas.