Provides a set of functions with a common framework for age-depth model management, 
  stratigraphic visualization, and common statistical transformations. The focus of the
  package is stratigraphic visualization, for which 'ggplot2' components are provided
  to reproduce the scales, geometries, facets, and theme elements commonly used in
  publication-quality stratigraphic diagrams. Helpers are also provided to reproduce
  the exploratory statistical summaries that are frequently included on
  stratigraphic diagrams. See Dunnington et al. (2021) <doi:10.18637/jss.v101.i07>.

A robust toolkit designed to standardize and clean complex tabular data
    from commercial enterprise systems, healthcare records, logistics software, and HR
    databases. Features include intelligent regex parsing for domain-specific noise
    (currencies, percentages), gap-based block clustering, and automated messy table
    resolution. Methods draw on tidy data principles described in Wickham (2014)
    <doi:10.18637/jss.v059.i10> and the 'readxl' parsing infrastructure described in
    Wickham & Bryan (2023) <https://readxl.tidyverse.org>.

The goal of 'tidyplate' is to help researchers convert
    different types of microplates into tibbles which can be used in data
    analysis. It accepts xlsx and csv files formatted in a specific way as
    input. It supports all types of standard microplate formats such as
    6-well, 12-well, 24-well, 48-well, 96-well, 384-well, and, 1536-well
    plates.

The goal of 'tidyplots' is to streamline the creation of publication-ready plots for scientific papers. It allows to gradually add, remove and adjust plot components using a consistent and intuitive syntax.

Provides functions such as str_crush(), add_missing_column(), 
  coalesce_data() and drop_na_all() that complement 'tidyverse' functionality
  or functions that provide alternative behaviors such as if_else2()
  and str_detect2().

We provide a tidy grammar of population genetics, facilitating 
    the manipulation and analysis of data on biallelic single nucleotide
    polymorphisms (SNPs). 'tidypopgen' scales to very large genetic datasets
    by storing genotypes on disk, and performing operations on them in 
    chunks, without ever loading all data in memory. The full
    functionalities of the package are described in Carter et al. (2025)
    <doi:10.1111/2041-210x.70204>.