Constructing an epistemic model such that, for every player i and for every choice c(i) which is optimal, there is one type that expresses common belief in rationality.

Builds contingency tables that cross-tabulate multiple 
    categorical variables and also calculates various summary measures.
    Export to a variety of formats is supported, including: 'HTML', 
    'LaTeX', and 'Excel'.

Produces tables for descriptive epidemiological analysis.
    These tables include attack rates, case fatality ratios, and mortality
    rates (with appropriate confidence intervals), with additional
    functionality to calculate Mantel-Haenszel odds, risk, and incidence
    rate ratios. The methods implemented follow standard epidemiological
    approaches described in Rothman et al. (2008, ISBN:978-0-19-513554-2).
    This package is part of the 'R4EPIs' project <https://R4EPI.github.io/sitrep/>.

Provides functions to test for gene x gene interactions in a
    bi-parental population of inbred lines. The data are fitted with the
    mixed linear model described in Rio et al. (2022) <doi:10.1101/2022.12.18.520958>, 
    that accounts for gene x gene interactions
    at both the fixed effect and variance levels. The package also
    provides graphical tools to display the gene x gene interaction trend at
    the mean level and the variance component analysis.

Tools for training and practicing epidemiologists including methods for two-way and multi-way contingency tables.

A fast, flexible tool for generating disease surveillance
    reports from data exported from 'EpiTrax', a central repository for
    epidemiological data used by public health officials. It provides
    functions to manipulate 'EpiTrax' datasets, tailor reports to internal
    or public use, and export reports in CSV, Excel 'xlsx', or PDF formats.

A collection of small functions useful for epidemics analysis and infectious disease modelling. This includes computation of basic reproduction numbers from growth rates, generation of hashed labels to anonymize data, and fitting discretized Gamma distributions.