Statistical methods and related graphical representations for the Desirability of Outcome Ranking (DOOR) methodology. The DOOR is a paradigm for the design, analysis, interpretation of clinical trials and other research studies based on the patient centric benefit risk evaluation. The package provides functions for generating summary statistics from individual level/summary level datasets, conduct DOOR probability-based inference, and visualization of the results. For more details of DOOR methodology, see Hamasaki and Evans (2025) <doi:10.1201/9781003390855>. For more explanation of the statistical methods and the graphics, see the technical document and user manual of the DOOR 'Shiny' apps at <https://methods.bsc.gwu.edu>.

Provides a 'foreach' parallel adapter for 'parabar' backends. This
    package offers a minimal implementation of the '%dopar%' operator, enabling
    users to run 'foreach' loops in parallel, leveraging the parallel and
    progress-tracking capabilities of the 'parabar' package. Learn more about
    'parabar' and 'doParabar' at <https://parabar.mihaiconstantin.com>.

Provides a parallel backend for the %dopar% function using
        the parallel package.

Provides information on drug names (brand, 
    generic and street) for drugs tracked by the DEA. There are functions that 
    will search synonyms and return the drug names and types. The vignettes 
    have extensive information on the work done to create the data for the package.

Create and manage fault-tolerant task queues for the 'foreach' package using the 'Redis' key/value database.

Provides models to fit the dynamics of a regulated system experiencing exogenous inputs. 
    The underlying models use differential equations and linear mixed-effects regressions to estimate the 
    coefficients of the equation. With them, the functions can provide an estimated signal.
    The package provides simulation and analysis functions and also print, summary, plot and predict methods,
    adapted to the function outputs, for easy implementation and presentation of results.