Computes effect sizes, standard errors, and confidence intervals
    for total, direct, and indirect effects in continuous-time mediation models
    as described in Pesigan, Russell, and Chow (2025) <doi:10.1037/met0000779>.

Implements the general template for collaborative targeted maximum likelihood estimation. It also provides several commonly used C-TMLE instantiation, like the vanilla/scalable variable-selection C-TMLE (Ju et al. (2017) <doi:10.1177/0962280217729845>) and the glmnet-C-TMLE algorithm (Ju et al. (2017) <arXiv:1706.10029>).

Implements a basis function or functional data analysis framework
             for several techniques of multivariate analysis in continuous-time 
             setting. Specifically, we introduced continuous-time analogues of
             several classical techniques of multivariate analysis, such as 
             principal component analysis, canonical correlation analysis, 
             Fisher linear discriminant analysis, K-means clustering, and so 
             on. Details are in Biplab Paul, Philip T. Reiss, Erjia Cui and Noemi Foa (2025) 
             "Continuous-time multivariate analysis" <doi: 10.1080/10618600.2024.2374570>.

The Clinical Trials Network (CTN) of the U.S. National Institute
  of Drug Abuse sponsored the CTN-0094 research team to harmonize data sets
  from three nationally-representative clinical trials for opioid use disorder
  (OUD). The CTN-0094 team herein provides a coded collection of trial outcomes
  and endpoints used in various OUD clinical trials over the past 50 years.
  These coded outcome functions are used to contrast and cluster different
  clinical outcome functions based on daily or weekly patient urine screenings.
  Note that we abbreviate urine drug screen as "UDS" and urine opioid screen as
  "UOS". For the example data sets (based on clinical trials data harmonized by
  the CTN-0094 research team), UDS and UOS are largely interchangeable.

A modern and flexible R client for the 'SurveyCTO', a mobile and 
    offline data collection platform, providing a modern and consistent interface for 
    programmatic access to server resources. Built on top of the 'httr2' package, 
    it enables secure and efficient data retrieval and returns analysis-ready 
    data through optional tidying. It includes functions to create, upload, and 
    download server datasets, in addition to fetching form data, files, and 
    submission attachments. Robust authentication and request handling make the 
    package suitable for automated survey monitoring and downstream analysis.