The online principal component method can process the online data set. The philosophy of the package is described in Guo G. (2018) <doi:10.1080/10485252.2018.1531130>.

The online principal component regression method can process the online data set. 'OPCreg' implements the online principal component regression method, which is specifically designed to process online datasets efficiently. This method is particularly useful for handling large-scale, streaming data where traditional batch processing methods may be computationally infeasible.The philosophy of the package is described in 'Guo' (2025) <doi:10.1016/j.physa.2024.130308>.

An optimized method for distribution-preserving class-proportional down-sampling of bio-medical data.

Several function related to Experimental Design are implemented here, see
  "Optimal Experimental Design with R" by Rasch D. et. al (ISBN 9781439816974).

This contains functions and data used by the Open Visualization Academy classes on data processing and visualization. The tutorial included with this package requires the 'gradethis' package which can be installed using "remotes::install_github('rstudio/gradethis')".

An R wrapper of OpenAI API endpoints (see
    <https://platform.openai.com/docs/introduction> for details). This package
    covers Models, Completions, Chat, Edits, Images, Embeddings, Audio, Files,
    Fine-tunes, Moderations, and legacy Engines endpoints.

Tools to analyse, interpret and understand air pollution
    data. Data are typically regular time series and air quality
    measurement, meteorological data and dispersion model output can be
    analysed. The package is described in Carslaw and Ropkins (2012,
    <doi:10.1016/j.envsoft.2011.09.008>) and subsequent papers.

Combine the air quality data analysis methods of 'openair'
    with the JavaScript 'Leaflet' (<https://leafletjs.com/>) library.
    Functionality includes plotting site maps, "directional analysis"
    figures such as polar plots, and air mass trajectories.

A set of tools to extract bibliographic content from
    'OpenAlex' database using API <https://docs.openalex.org>.