Data sets and utilities to accompany the second edition of
    "Foundations and Applications of Statistics: an Introduction
    using R" (R Pruim, published by AMS, 2017), a text covering
    topics from probability and mathematical statistics at an advanced
    undergraduate level.  R is integrated throughout, and access to all
    the R code in the book is provided via the snippet() function.

The FastRCS algorithm of Vakili and Schmitt (2014) for robust fit of the multivariable linear regression model and outliers detection.

Provides  templates for reports in 'rmarkdown' and 
     functions to create tables and summaries of data.

Provides hardware-accelerated tools for performing rerandomization
    and randomization testing in experimental research. Using a 'JAX' backend, the
    package enables exact rerandomization inference even for large experiments
    with hundreds of billions of possible randomizations. Key functionalities
    include generating pools of acceptable rerandomizations based on covariate
    balance, conducting exact randomization tests, and performing pre-analysis
    evaluations to determine optimal rerandomization acceptance thresholds. The
    package supports various hardware acceleration frameworks including 'CPU',
    'CUDA', and 'METAL', making it versatile across accelerated computing environments. This
    allows researchers to efficiently implement stringent rerandomization designs and
    conduct valid inference even with large sample sizes. The package is partly based on Jerzak and Goldstein (2023) <doi:10.48550/arXiv.2310.00861>.

A framework for predicting retention times in liquid
    chromatography. Users can train custom models for specific
    chromatography columns, predict retention times using existing models,
    or adjust existing models to account for altered experimental
    conditions. The provided functionalities can be accessed either via
    the R console or via a graphical user interface. Related work: Bonini
    et al. (2020) <doi:10.1021/acs.analchem.9b05765>.