Implement weighted higher-order initialization and angle-based iteration for multi-way spherical clustering under degree-corrected tensor block model. See reference Jiaxin Hu and Miaoyan Wang (2023) <doi:10.1109/TIT.2023.3239521>.

A system for combining two diagnostic tests using various approaches
              that include statistical and machine-learning-based methodologies. 
              These approaches are divided into four groups: linear combination 
              methods, non-linear combination methods, mathematical operators, 
              and machine learning algorithms. See 
              the <https://biotools.erciyes.edu.tr/dtComb/> website 
              for more information, documentation, and examples.

Comparison of the accuracy of two binary diagnostic tests in a "paired" study design, i.e. when each test is applied to each subject in the study.

Implementation of different algorithms for analyzing
        randomly truncated data, one-sided and two-sided (i.e. doubly)
        truncated data. It serves to compute empirical cumulative 
        distributions and also kernel density and hazard functions 
        using different bandwidth selectors.
      Several real data sets are included.

Nonparametric estimator of the cumulative incidences of competing risks under double truncation. The estimator generalizes the Efron-Petrosian NPMLE (Non-Parametric Maximun Likelihood Estimator) to the competing risks setting. Efron, B. and Petrosian, V. (1999) <doi:10.2307/2669997>.

Non-iterative estimator for the cumulative distribution of a doubly truncated variable. de Uña-Álvarez J. (2018) <doi:10.1007/978-3-319-73848-2_37>.

Provides functions for planning clinical trials subject to a delayed
    treatment effect using assurance-based methods. Includes two 'shiny'
    applications for interactive exploration, simulation, and visualisation of
    trial designs and outcomes. The methodology is described in:
    Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024)
    "Assurance methods for designing a clinical trial with a delayed treatment
    effect" <doi:10.1002/sim.10136>,
    Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024)
    "Adaptive clinical trial design with delayed treatment effects using
    elicited prior distributions" <doi:10.48550/arXiv.2509.07602>.