Provides implementations of functions that can be used to
    test multivariate integration routines. The package covers six
    different integration domains (unit hypercube, unit ball, unit sphere,
    standard simplex, non-negative real numbers and R^n). For each domain
    several functions with different properties (smooth,
    non-differentiable, ...) are available. The functions are available in
    all dimensions n >= 1. For each function the exact value of the
    integral is known and implemented to allow testing the accuracy of
    multivariate integration routines. Details on the available test
    functions can be found at on the development website.

Matching algorithm based on network-flow structure. 
  Users are able to modify the emphasis on three different 
  optimization goals: two different distance measures and 
  the number of treated units left unmatched. The method is proposed by Pimentel
  and Kelz (2019) <doi:10.1080/01621459.2020.1720693>.
  The 'rrelaxiv' package, which provides an alternative solver for
	the underlying network flow problems, carries an
	academic license and is not available on CRAN, but
	may be downloaded from Github at 
	<https://github.com/josherrickson/rrelaxiv/>.

Spatio-temporal multivariate occupancy models can handle multiple species in occupancy models.  This method for fitting such models is described in Hepler and Erhardt (2021) "A spatiotemporal model for multivariate occupancy data".

A method for multivariate ordinal data generation given marginal distributions and correlation matrix based on the methodology proposed by Demirtas (2006) <DOI:10.1080/10629360600569246>.

Tools to create a layout for figures made of multiple panels, and
    to fill the panels with base, 'lattice', 'ggplot2' and 'ComplexHeatmap'
    plots, grobs, as well as content from all image formats supported by
    'ImageMagick' (accessed through 'magick').

Performs genetic association tests between SNPs
        (one-at-a-time) and multiple phenotypes (separately or in joint
        model).