Provides tools for retrieving and analyzing air quality data
    from 'PurpleAir' sensors through their API. Functions enable downloading
    historical measurements, accessing sensor metadata, and managing API
    request limitations through chunked data retrieval. For more information 
    about the 'PurpleAir' API, see <https://api.purpleair.com/>.

A complete and consistent functional programming toolkit for
    R.

Some functions at the intersection of 'dplyr' and
    'purrr' that formerly lived in 'purrr'.

Projection pursuit (PP) with 17 methods and grand tour with 3 methods. Being that projection pursuit searches for low-dimensional linear projections in high-dimensional data structures, while grand tour is a technique used to explore multivariate statistical data through animation.

Create sliders from left, right, top and bottom which may include any html or 'Shiny' input or output.

Send push notifications to mobile devices or the desktop
    using 'Pushover' <https://pushover.net>. These notifications can
    display things such as results, job status, plots, or any other text
    or numeric data.

Provides tools for extracting and processing structured annotations from 'R' 
    and 'Python' source files to facilitate workflow visualization. The package scans 
    source files for special 'PUT' annotations that define nodes, connections, and 
    metadata within a data processing workflow. These annotations can then be used 
    to generate visual representations of data flows and processing steps across 
    polyglot software environments. Builds on concepts from literate programming 
    Knuth (1984) <doi:10.1093/comjnl/27.2.97> and utilizes directed acyclic graph (DAG) 
    theory for workflow representation Foraita, Spallek, and Zeeb (2014) 
    <doi:10.1007/978-0-387-09834-0_65>. Diagram generation powered by 'Mermaid' 
    Sveidqvist (2014) <https://mermaid.js.org/>.

To Simplify the time consuming and error prone task of assembling complex data sets for non-linear mixed effects modeling. Users are able to select from different absorption processes such as zero and first order, or a combination of both. Furthermore, data sets containing data from several entities, responses, and covariates can be simultaneously assembled.