Provides functions to access drug regulatory data from public RESTful APIs 
    including the 'FDA Open API' and the 'Health Canada Drug Product Database API', 
    retrieving real-time or historical information on drug approvals, adverse events, 
    recalls, and product details. Additionally, the package includes a curated collection 
    of open datasets focused on drugs, pharmaceuticals, treatments, and clinical studies. 
    These datasets cover diverse topics such as treatment dosages, pharmacological studies, 
    placebo effects, drug reactions, misuses of pain relievers, and vaccine effectiveness. 
    The package supports reproducible research and teaching in pharmacology, medicine, 
    and healthcare by integrating reliable international APIs and structured datasets 
    from public, academic, and government sources. 
    For more information on the APIs, see: 
    'FDA API' <https://open.fda.gov/apis/> and 
    'Health Canada API' <https://health-products.canada.ca/api/documentation/dpd-documentation-en.html>.

A causal mediation framework for single-cell data that incorporates two key features ('MedZIsc', pronounced Magics): (1) zero-inflation using beta regression and (2) overdispersed expression counts using negative binomial regression. This approach also includes a screening step based on penalized and marginal models to handle high-dimensionality. Full methodological details are available in our recent preprint by Ahn S and Li Z (2025) <doi:10.48550/arXiv.2505.22986>.

Provides programmatic access to the 'Meetup' 'GraphQL' API 
    (<https://www.meetup.com/graphql/>), enabling users to retrieve
    information about groups, events, and members from 'Meetup' 
    (<https://www.meetup.com/>). Supports authentication via 'OAuth2' and
    includes functions for common queries and data manipulation tasks.

A framework package aimed to provide standardized computational environment for specialist work via object classes to represent the data coded by samples, taxa and segments (i.e. subpopulations, repeated measures). It supports easy processing of the data along with cross tabulation and relational data tables for samples and taxa. An object of class `mefa' is a project specific compendium of the data and can be easily used in further analyses. Methods are provided for extraction, aggregation, conversion, plotting, summary and reporting of `mefa' objects. Reports can be generated in plain text or LaTeX format. Vignette contains worked examples.