Tools to quantify transmissibility throughout
    an epidemic from the analysis of time series of incidence as described in
    Cori et al. (2013) <doi:10.1093/aje/kwt133> and Wallinga and Teunis (2004) 
    <doi:10.1093/aje/kwh255>.

Tools for analysis, visualization, and simulation of plant disease
    progress curves. Includes functions to calculate area-under-the-curve
    summaries, fit and compare exponential, monomolecular, logistic, and
    Gompertz models using linear or nonlinear regression, work with single or
    multiple epidemics, and produce 'ggplot2'-based visualizations. Also
    includes an experimental powdery mildew dataset for reproducible teaching
    and research workflows. See Madden, Hughes, and van den Bosch (2007)
    <doi:10.1094/9780890545058> for background on the epidemiological methods.

Provides functions and classes designed to handle and visualise
    epidemiological flows between locations. Also contains a statistical method
    for predicting disease spread from flow data initially described in
    Dorigatti et al. (2017) <doi:10.2807/1560-7917.ES.2017.22.28.30572>.
    This package is part of the RECON (<https://www.repidemicsconsortium.org/>)
    toolkit for outbreak analysis.

This is a collection of assorted functions and examples collected 
    from various projects. Currently we have functionalities for simplifying 
    overlapping time intervals, Charlson comorbidity score constructors for 
    Danish data, getting frequency for multiple variables, getting standardized
    output from logistic and log-linear regressions, sibling design linear 
    regression functionalities a method for calculating the confidence intervals 
    for functions of parameters from a GLM, Bayes equivalent for hypothesis 
    testing with asymptotic Bayes factor, and several help functions for 
    generalized random forest analysis using 'grf'.

The interface package to access data from the
    'EpiGraphDB' <https://epigraphdb.org> platform.
    It provides easy access to the 'EpiGraphDB' platform with functions that
    query the corresponding REST endpoints on the API <https://api.epigraphdb.org>
    and return the response data in the 'tibble' data frame format.