Simulate, manage, visualize, and analyze spatially and temporally 
    explicit datasets of mating potential. Implements methods to calculate 
    synchrony, proximity, and compatibility.Synchrony calculations are based on 
    methods described in Augspurger (1983) <doi:10.2307/2387650>, 
    Kempenaers (1993) <doi:10.2307/3676415>, Ison et al. (2014) 
    <doi:10.3732/ajb.1300065>, and variations on these, as described.

You can apply image processing effects that modifies the perceived material properties of objects
    in photos, such as gloss, smoothness, and blemishes. This is an implementation of the algorithm proposed by
    Boyadzhiev et al. (2015) "Band-Sifting Decomposition for Image Based Material Editing".
    Documentation and practical tips of the package is available at <https://github.com/tsuda16k/materialmodifier>.

Implements the Multi-view Aggregated Two-Sample (MATES) test, a powerful nonparametric method for testing equality of two multivariate distributions. The method constructs multiple graph-based statistics from various perspectives (views) including different distance metrics, graph types (nearest neighbor graphs, minimum spanning trees, and robust nearest neighbor graphs), and weighting schemes. These statistics are then aggregated through a quadratic form to achieve improved statistical power. The package provides both asymptotic closed-form inference and permutation-based testing procedures. For methodological details, see Cai and others (2026+) <doi:10.48550/arXiv.2412.16684>.

Provides 'MathJax' and macros to enable its use within Rd files for rendering equations in the HTML help files.

Translate R expressions to 'MathML' or 'MathJax'/'LaTeX' so that
    they can be rendered in R markdown documents and shiny apps. This package
    depends on R package 'rolog', which requires an installation of the
    'SWI'-'Prolog' runtime either from 'swi-prolog.org' or from R
    package 'rswipl'.

Given an image of a formula (typeset or handwritten) this package
    provides calls to the 'Mathpix' service to produce the 'LaTeX' code which should
    generate that image, and pastes it into a (e.g. an 'rmarkdown') document. 
    See <https://docs.mathpix.com/> for full details. 'Mathpix' is an external service 
    and use of the API is subject to their terms and conditions.