Provides an R interface to the 'OMOPHub' API for accessing
    'OHDSI ATHENA' standardized medical vocabularies. Supports concept search,
    semantic search using neural embeddings, concept similarity, vocabulary
    exploration, hierarchy navigation, relationship queries, concept
    mappings, and FHIR-to-OMOP concept resolution with automatic pagination.

Use health data in the Observational Medical Outcomes Partnership 
    Common Data Model format in 'Spark'. Functionality includes creating all 
    required tables and fields and creation of a single reference to the data. 
    Native 'Spark' functionality is supported.

Summarises key information in data mapped to the Observational 
    Medical Outcomes Partnership (OMOP) common data model. Assess suitability to 
    perform specific epidemiological studies and explore the different domains
    to obtain feasibility counts and trends.

Streamlines the setup and execution of network studies using
    the Observational Medical Outcomes Partnership (OMOP) Common Data
    Model (CDM). Creates standardised project structures with template
    code, manages dependencies with 'renv', provides code review
    utilities, and supports containerised execution with 'Docker' for
    reproducible multi-site studies.  Includes 'GitHub' integration for
    collaboration and version control.

Visualise results obtained from analysing data mapped to the 
    Observational Medical Outcomes Partnership (OMOP) common data model using
    'shiny' applications.

Model mixed integer linear programs in an algebraic way directly in R.
             The model is solver-independent and thus offers the possibility
             to solve a model with different solvers. It currently only supports
             linear constraints and objective functions. See the 'ompr'
             website <https://dirkschumacher.github.io/ompr/> for more information,
             documentation and examples.

A solver for 'ompr' based on the R Optimization Infrastructure ('ROI').
  The package makes all solvers in 'ROI' available to solve 'ompr' models. Please see the
  'ompr' website <https://dirkschumacher.github.io/ompr/> and package docs for more information
  and examples on how to use it.