Calculates the community four 'moments' (mean, variance, skewness,
    and kurtosis) of a given trait based on the moments described in Wieczynski 
    et al. (2019) <doi:10.1073/pnas.1813723116>. These functional metrics are 
    extremely useful in characterizing the distribution of traits in a plant 
    community. It also provides tidyverse-friendly wrappers to seamlessly calculate
    advanced functional diversity indices (e.g., FDis, Rao's Q) using 'fundiversity' 
    (Grenie et al. 2023 <doi:10.1111/ecog.06585>) and functional rarity indices 
    using 'funrar' (Grenie et al. 2017 <doi:10.1111/ddi.12629>). Evaluating these 
    community-weighted moments and diversity metrics allows researchers to evaluate
    shifts in optimal phenotypes and understand ecological filtering with exactness.

'TidyTuesday' is a project by the 'Data Science Learning
    Community' in which they post a weekly dataset in a public data
    repository (<https://github.com/rfordatascience/tidytuesday>) for
    people to analyze and visualize. This package provides the tools to
    easily download this data and the description of the source.

Utilities to retrieve and tidy U.S. macroeconomic data series
    from public government data providers. Functions streamline access to series
    from the Federal Reserve Bank of St. Louis Federal Reserve Economic Data (FRED),
    the Bureau of Labor Statistics flat files, and the Bureau of Economic
    Analysis National Income and Product Accounts tables, then return
    consistent, tidy data frames ready for modeling and graphics. The package includes
    helpers for date alignment, log-linear projections, and common macro diagnostics,
    along with convenience plot builders for quick publication-quality charts.

The 'tidyverse' is a set of packages that work in harmony
    because they share common data representations and 'API' design. This
    package is designed to make it easy to install and load multiple
    'tidyverse' packages in a single step. Learn more about the
    'tidyverse' at <https://www.tidyverse.org>.