Phylogenetic tree generally contains multiple components including node, edge, branch and associated data. 'tidytree' provides an approach to convert tree object to tidy data frame as well as provides tidy interfaces to manipulate tree data.

'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>.

Perform a Visual Predictive Check (VPC), while accounting for 
    stratification, censoring, and prediction correction. Using piping from 
    'magrittr', the intuitive syntax gives users a flexible and powerful method 
    to generate VPCs using both traditional binning and a new binless approach 
    Jamsen et al. (2018) <doi:10.1002/psp4.12319> with Additive Quantile 
    Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS) 
    prediction correction.

Provides multiple water chemistry-based models and published empirical models in one standard format.
    As many models have been included as possible, however, users should be aware that models have varying degrees of accuracy and applicability.
    To learn more, read the references provided below for the models implemented.
    Functions can be chained together to model a complete treatment process and are designed to work in a 'tidyverse' workflow.
    Models are primarily based on these sources:
    Benjamin, M. M. (2002, ISBN:147862308X),
    Crittenden, J. C., Trussell, R., Hand, D., Howe, J. K., & Tchobanoglous, G., Borchardt, J. H. (2012, ISBN:9781118131473),
    USEPA. (2001) <https://www.epa.gov/sites/default/files/2017-03/documents/wtp_model_v._2.0_manual_508.pdf>.