Uses support vector machines to identify a perfectly separating hyperplane (linear or curvilinear) between two entities in high-dimensional space. If this plane exists, the entities do not overlap. Applications include overlap detection in morphological, resource or environmental dimensions. More details can be found in: Brown et al. (2020) <doi:10.1111/2041-210X.13363> .

Comfortable ways to work with hyperspectral data sets.
    I.e. spatially or time-resolved spectra, or spectra with any other kind
    of information associated with each of the spectra. The spectra can be data
    as obtained in XRF, UV/VIS, Fluorescence, AES, NIR, IR, Raman, NMR, MS,
    etc. More generally, any data that is recorded over a discretized variable,
    e.g. absorbance = f(wavelength), stored as a vector of absorbance values
    for discrete wavelengths is suitable.

Estimates the shape and volume of high-dimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and hole detection. Uses stochastic geometry approach to high-dimensional kernel density estimation, support vector machine delineation, and convex hull generation. Applications include modeling trait and niche hypervolumes and species distribution modeling.

Work with model files (setup, input, output) from
    the hydrological catchment model HYPE: Streamlined file import and export, standard 
    evaluation plot routines, diverse post-processing and aggregation routines 
    for hydrological model analysis. The HYPEtools package is also archived at <doi:10.5281/zenodo.7627955>
    and can be cited in publications with Brendel et al. (2024) <doi:10.1016/j.envsoft.2024.106094>.

An implementation of Random Forest-based two-sample tests as introduced in Hediger & Michel & Naef (2022).

Add, share and manage annotations for 'Shiny' applications and R Markdown documents via 'hypothes.is'.

Interact with the application programming interface for the web
    annotation service 'Hypothes.is' (See <http://hypothes.is> for more
    information.) Allows users to download data about public annotations, and
    create, retrieve, update, and delete their own annotations.