Offers tools to estimate and visualize levels of major pollutants
             (CO, NO2, SO2, Ozone, PM2.5 and PM10) across the conterminous
             United States for user-defined time ranges. Provides functions to
             retrieve pollutant data from the U.S. Environmental Protection
             Agency’s 'Air Quality System' (AQS) API service
             <https://aqs.epa.gov/aqsweb/documents/data_api.html> for
             interactive visualization through a 'shiny' application, allowing
             users to explore pollutant levels for a given location over time
             relative to the National Ambient Air Quality Standards (NAAQS).

Provides a parallel estimation method for generalized 
  linear models without compiling with a multithreaded LAPACK or BLAS.

Computes the All-Resolution Inference method in the permutation framework, i.e., simultaneous lower confidence bounds for the number of true discoveries. <doi:10.1002/sim.9725>.

Palettes inspired by Paris 2024 Olympic and Paralympic Games for 
    data visualizations. Length of color palettes is configurable.

Provision of a set of models and methods for use in the allocation and management of capital in financial portfolios.

Parallel estimation of the mutual information based on entropy
    estimates from k-nearest neighbors distances and algorithms for the
    reconstruction of gene regulatory networks
    (Sales et al, 2011 <doi:10.1093/bioinformatics/btr274>).

Executes simple parametric models for right-censored 
    survival data.  Functionality emulates capabilities in 'Minitab', including
    fitting right-censored data, assessing fit, plotting survival functions,
    and summary statistics and probabilities.

Reads in multi-part parquet files. Will read in parquet files that have not been previously coalesced into one file. Convenient for reading in moderately sized, but split files.

Collection of functions to get files in parquet format.
    Parquet is a columnar storage file format <https://parquet.apache.org/>. 
    The files to convert can be of several formats 
    ("csv", "RData", "rds", "RSQLite", 
    "json", "ndjson", "SAS", "SPSS"...).