Provides functionality to construct standardised tables from health
    care data formatted according to the Observational Medical Outcomes 
    Partnership (OMOP) Common Data Model. The package includes tools to build 
    key tables such as observation period and drug era, among others.

Provides definitions of core classes and methods used by analytic 
    pipelines that query the OMOP (Observational Medical Outcomes Partnership) 
    common data model.

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.

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.

Build 'SVG' components using element-based functions. With
    an 'svg' object, we can modify its graphical elements with a suite of
    transform functions.

Facilitates the creation of intuitive figures to describe metabolomics data by utilizing Kyoto Encyclopedia of Genes and Genomes (KEGG) hierarchy data, and gathers functional orthology and gene data from the KEGG-REST API.

Data sets for network analysis related to People Analytics.  
  Contains various data sets from the book 'Handbook of Graphs and Networks in People Analytics' 
  by Keith McNulty (2021).