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.

A novel framework for detecting, quantifying, and analyzing dormant 
    patterns in multivariate data. Dormant patterns are statistical relationships 
    that exist in data but remain inactive until specific trigger conditions emerge. 
    This concept, inspired by biological dormancy (seeds, pathogens) and geological 
    phenomena (dormant faults), provides tools to identify latent risks, hidden 
    correlations, and potential phase transitions in complex systems. The package 
    introduces methods for quantifying dormancy depth, trigger sensitivity, and 
    awakening risk - enabling analysts to discover patterns that conventional 
    methods miss because they focus only on currently active relationships.