Facilitates the automatic detection of acoustic signals, 
    providing functions to diagnose and optimize the performance of detection 
    routines. Detections from other software can also be explored and optimized. 
    This package has been peer-reviewed by rOpenSci.
    Araya-Salas et al. (2022) <doi:10.1101/2022.12.13.520253>.

Interface with the One Health VBD (vector-borne disease) Hub <https://vbdhub.org/> and related repositories (VectorByte <https://www.vectorbyte.org>, GBIF <https://www.gbif.org> and AREAdata <https://pearselab.github.io/areadata/>) directly to find, download, and subset vector-borne disease data.

Provides simple crosstab output with optional statistics (e.g., Goodman-Kruskal Gamma, Somers' d, and Kendall's tau-b) as well as two-way and one-way tables. The package is used within the statistics component of the Masters of Science (MSc) in Social Science of the Internet at the Oxford Internet Institute (OII), University of Oxford, but the functions should be useful for general data analysis and especially for analysis of categorical and ordinal data.

Calculating the Oja median, Oja signs and ranks and methods based upon them. For details, see the the corresponding publication Fischer, Mosler, et al. (2020) <doi:10.18637/jss.v092.i08>.

Empirical reservoir water quality modelling using Walker's
    'BATHTUB' Model 1 (second-order available-phosphorus sedimentation)
    from Walker (1985) <https://hdl.handle.net/11681/13884>
    and Walker (1996) <https://hdl.handle.net/11681/4353> as the
    default retention model. The Vollenweider (1976) hydraulic-
    residence form and the equivalent formulation of Larsen and Mercier
    (1976) are available as alternatives. Predicts in-lake total
    phosphorus, total nitrogen, chlorophyll-a, and Secchi depth from
    tributary nutrient and hydraulic loading inputs, and computes
    Carlson (1977) <doi:10.4319/lo.1977.22.2.0361> Trophic State
    Indices. Optional Oklahoma-specific chlorophyll and Secchi
    regression coefficients are provided, calibrated from publicly
    available state lake monitoring data. Supports single-segment and
    multi-segment reservoir configurations and load-reduction scenario
    analysis. Designed to complement watershed loading models such as
    the Soil and Water Assessment Tool ('SWAT';
    <https://swat.tamu.edu>) and the U.S. EPA Hydrologic and Water
    Quality System ('HAWQS'; <https://hawqs.tamu.edu>) in a
    two-model nutrient management workflow.