Access and retrieve vocabulary data 'Finto' API <https://api.finto.fi/>, which is a centralized service for interoperable thesauri, ontology and classification schemes for different subject areas.

R companion to Tsay (2005) Analysis of Financial Time
   Series, second edition (Wiley).  Includes data sets, functions and
   script files required to work some of the examples.  Version 0.3-x
   includes R objects for all data files used in the text and script
   files to recreate most of the analyses in chapters 1-3 and 9 plus
   parts of chapters 4 and 11.

Simplifies the process of importing and managing input-output
  matrices from 'Microsoft Excel' into R, and provides a suite of functions for
  analysis. It leverages the 'R6' class for clean, memory-efficient
  object-oriented programming. Furthermore, all linear algebra computations are
  implemented in 'Rust' to achieve highly optimized performance.

Provides a wrapper for the python module 'FIORA' as well as a 
    'shiny'-App to facilitate data processing and visualization. 'FIORA' allows 
    to predict Mass-Spectra based on the SMILES code of chemical compounds. It 
    is described in the Nature Communications article by Nowatzky (2025) 
    <doi:10.1038/s41467-025-57422-4>.

Provides a lightweight suite
             of functions for retrieving information
             about 5-digit or 2-digit US FIPS codes.

The algorithm assigns rareness/ outlierness score to every sample in voluminous datasets.
    The algorithm makes multiple estimations of the proximity between a pair of samples, in low-dimensional spaces. To compute proximity, FiRE uses Sketching, a variant of locality sensitive hashing. For more details: Jindal, A., Gupta, P., Jayadeva and Sengupta, D., 2018. Discovery of rare cells from voluminous single cell expression data. Nature Communications, 9(1), p.4719. <doi:10.1038/s41467-018-07234-6>.

Authenticate users in 'Shiny' applications using 'Google Firebase'
    with any of the many methods provided; email and password, email link, or
    using a third-party provider such as 'Github', 'Twitter', or 'Google'.
    Use 'Firebase Storage' to store files securely, and leverage 'Firebase Analytics'
    to easily log events and better understand your audience.