Provides fonts licensed under the 'Bitstream Vera Fonts'
    license for the 'fontquiver' package.

A placeholder for the Liberation fontset intended for the
    `fontquiver` package. This fontset covers the 12 combinations of
    families (sans, serif, mono) and faces (plain, bold, italic, bold
    italic) supported in R graphics devices.

Provides a set of fonts with permissive licences. This is
    useful when you want to avoid system fonts to make sure your
    outputs are reproducible.

Displays a weighted undirected food graph from an adjacency matrix.
    Can perform confidence-interval bootstrap inference with mutual information
    or maximal information coefficient.
    Based on my Master 1 internship at the Bordeaux Population Health center.
    References : Reshef et al. (2011) <doi:10.1126/science.1205438>,
    Meyer et al. (2008) <doi:10.1186/1471-2105-9-461>,
    Liu et al. (2016) <doi:10.1371/journal.pone.0158247>.

Aids in analysing data from a food frequency questionnaire known as 
    the Harvard Service Food Frequency Questionnaire (HSFFQ).
    Functions from this package use answers from the HSFFQ to generate 
    estimates of daily consumed micronutrients, calories, macronutrients on 
    an individual level.
    The package also calculates food quotients on individual and group levels. 
    Foodquotient calculation is an often tedious step in the calculation of 
    total human energy expenditure (TEE) using the doubly labeled water method, 
    which is the gold standard for measuring TEE.

Enhances the functionality of the mvbutils::foodweb() program. The matrix-format output of the original program contains identical row names and column names, each name representing a retrieved function. This format is enhanced by using the find_funs() program [see Sebastian (2017) <https://sebastiansauer.github.io/finds_funs/>] to concatenate the package name to the function name. Each package is assigned a unique color, that is used to color code the text naming the packages and the functions. This color coding is extended to the entries of value "1" within the matrix, indicating the pattern of ancestor and descendent functions.