Validates instantiated patient cohorts on an Observational
    Medical Outcomes Partnership (OMOP) Common Data Model (CDM) database for
    real-world-evidence (RWE) studies. From a single function call it produces
    a structured validation report in Hypertext Markup Language (HTML) and
    JavaScript Object Notation (JSON) covering concept coverage, cohort
    attrition, temporal data density, and covariate feasibility against a
    comparator. The checks are aligned with the United States Food and Drug
    Administration (FDA) guidance on real-world data and evidence, FDA (2023)
    <https://www.fda.gov/media/171667/download>, the Harmonized Protocol
    Template to Enhance Reproducibility (HARPER), Wang and others (2022)
    <doi:10.1002/pds.5507>, and the Reporting of Studies Conducted Using
    Observational Routinely-Collected Data for Pharmacoepidemiology
    (RECORD-PE) statement, Langan and others (2018) <doi:10.1136/bmj.k3532>.
    A self-contained example database is bundled so the checks can be run
    without a live database connection.

Communications simulation package supporting forward error correction.

Random walk functions to extract new variables based on clients transactional behaviour. For more details, see Eddin et al. (2021) <arXiv:2112.07508v3> and Oliveira et al. (2021) <arXiv:2102.05373v2>.

A straightforward, easy-to-use and robust parsing package which aims to
    digest history files from the popular messenger service 'WhatsApp' in all locales
    and from all devices.

Provides functions to simulate and analyze data for a regression model with an interval censored covariate, as described in Morrison et al. (2021) <doi:10.1111/biom.13472>.

Provides Wiener process distribution functions,
  namely the Wiener first passage time density, CDF, quantile and random
  functions. Additionally supplies a modelling function (wdm) and further
  methods for the resulting object.

Efficient implementation of several Optimal Transport algorithms in Fangzhou Xie (2025) <doi:10.48550/arXiv.2504.08722> and the Wasserstein Index Generation (WIG) model in Fangzhou Xie (2020) <doi:10.1016/j.econlet.2019.108874>.