A system for importing electrophysiological signal, based
    on the 'Waveform Database (WFDB)' software package, written by Moody et al 
    2022 <doi:10.13026/gjvw-1m31>. A wrapper for utilizing 'WFDB' functions for
    reading and writing signal data, as well as functions for visualization and
    analysis are provided. A stable and broadly compatible class for working
    with signal data, supporting the reading in of cardiac electrophysiogical
    files such as intracardiac electrograms, is introduced.

User friendly interface based on the R package 'gstat' to fit
    exponential parametric models to empirical semi-variograms in order to
    model the spatial correlation structure of health data. Geo-located
    health outcomes of survey participants may be used to model spatial
    effects on health in an ego-centred approach.  The package contains a
    range of functions to help explore the spatial structure of the data
    as well as visualize the fit of exponential models for various
    metaparameter combinations with respect to the number of lag intervals
    and maximal distance.  Furthermore, the outcome of interest can be
    adjusted for covariates by fitting a linear regression in a
    preliminary step before the semi-variogram fitting process.

Tools for importing, analyzing and visualizing ego-centered
    network data. Supports several data formats, including the export formats of
    'EgoNet', 'EgoWeb 2.0' and 'openeddi'. An interactive (shiny) app for the
    intuitive visualization of ego-centered networks is provided. Also included
    are procedures for creating and visualizing Clustered Graphs 
    (Lerner 2008 <DOI:10.1109/PACIFICVIS.2008.4475458>).

Statistics and graphics for streamflow history,
    water quality trends, and the statistical modeling algorithm: Weighted
    Regressions on Time, Discharge, and Season (WRTDS).

Collection of functions to evaluate uncertainty of results from
    water quality analysis using the Weighted Regressions on Time Discharge and
    Season (WRTDS) method. This package is an add-on to the EGRET package that
    performs the WRTDS analysis. The WRTDS modeling
    method was initially introduced and discussed in Hirsch et al. (2010) <doi:10.1111/j.1752-1688.2010.00482.x>,
    and expanded in Hirsch and De Cicco (2015) <doi:10.3133/tm4A10>. The 
    paper describing the uncertainty and confidence interval calculations 
    is Hirsch et al. (2015) <doi:10.1016/j.envsoft.2015.07.017>.