The goal of this package is to translate between different languages without any Google API authentication which is pain and you must pay for the key, This package is free and lightweight.

Creates tables suitable for regulatory agency submission by
    leveraging the 'gtsummary' package as the back end. Tables can be exported
    to HTML, Word, PDF and more. Highly customized outputs are
    available by utilizing existing styling functions from 'gtsummary' as
    well as custom options designed for regulatory tables.

Simplifies regression modeling in R by integrating multiple modeling and summarization
  tools into a cohesive, user-friendly interface. Designed to be accessible for researchers,
  particularly those in Low- and Middle-Income Countries (LMIC). Built upon widely accepted 
  statistical methods, including logistic regression (Hosmer et al. 2013, ISBN:9781118548429), 
  log-binomial regression (Spiegelman and Hertzmark 2005 <doi:10.1093/aje/kwi188>), 
  Poisson and robust Poisson regression (Zou 2004 <doi:10.1093/aje/kwh090>), 
  negative binomial regression (Hilbe 2011, ISBN:9780521179515), and linear regression 
  (Kutner et al. 2005, ISBN:9780071122214). Leverages multiple dependencies to ensure 
  high-quality output and generate reproducible, publication-ready tables in alignment with
  best practices in epidemiology and applied statistics.

Connects to the 'Google Trends for Health' API hosted at
    <https://trends.google.com/trends/>, allowing projects authorized to use the
    health research data to query 'Google Trends'.

An interface for retrieving and displaying the information
        returned online by Google Trends is provided. Trends (number of
        hits) over the time as well as geographic representation of the
        results can be displayed.

A collection of functions for testing randomness (or mutual independence) in linear and circular data as proposed in Gehlot and Laha (2025a) <doi:10.48550/arXiv.2506.21157> and Gehlot and Laha (2025b) <doi:10.48550/arXiv.2506.23522>, respectively.