Implements reversal association pattern analysis for categorical data. Detects sub-tables exhibiting reversal associations in contingency tables, provides visualization tools, and supports simulation-based validation for complex I × J tables.

Interface for multiple data sources, such as the 
    `EDDS` API <https://evds2.tcmb.gov.tr/index.php?/evds/userDocs> of the 
    Central Bank of the Republic of Türkiye and the 
    `FRED` API <https://fred.stlouisfed.org/docs/api/fred/> of the Federal Reserve Bank. 
    Both data providers require API keys for access, which users can easily obtain 
    by creating accounts on their respective websites. 
    The package provides caching ability with the selection of periods to increase the 
    speed and efficiency of requests. 
    It combines datasets requested from different sources, 
    helping users when the data has common frequencies. 
    While combining data frames whenever possible, it also keeps all requested data
    available as separate data frames to increase efficiency.

Access services specified in OpenAPI (formerly Swagger) format.
  It is not a code generator. Client is generated dynamically as a list of R 
  functions.

Access to the C-level R date and 'datetime' code is provided for
 C-level API use by other packages via registration of native functions.
 Client packages simply include a single header 'RApiDatetime.h' provided
 by this package, and also 'import' it.  The R Core group is the original
 author of the code made available with slight modifications by this package.

Extracts machine-readable variables from natural language text using
    AI APIs. Optimized for speed and cost efficiency through parallel processing
    and direct CSV-formatted responses from language models. Supports multiple AI
    providers with robust error handling and automatic retry mechanisms for
    failed extractions.

Provides a high-performance interface for calculating string similarities and distances, leveraging the efficient library 'RapidFuzz' <https://github.com/rapidfuzz/rapidfuzz-cpp>. This package integrates the 'C++' implementation, allowing 'R' users to access cutting-edge algorithms for fuzzy matching and text analysis. Supported metrics include Levenshtein, Damerau-Levenshtein, Hamming, Jaro, Jaro-Winkler, Longest Common Subsequence (LCS), Optimal String Alignment (OSA), Indel, Prefix, and Postfix distances and similarities, as well as multiple fuzzy matching ratios.