Compute time-dependent Incident/dynamic accuracy measures
        (ROC curve, AUC, integrated AUC )from censored survival data
        under proportional or non-proportional hazard assumption of
        Heagerty & Zheng (Biometrics, Vol 61 No 1, 2005, PP 92-105).

Implements efficient simulation procedures to estimate tail loss probabilities and conditional excess for a stock portfolio. The log-returns are assumed to follow a t-copula model with generalized hyperbolic or t marginals.

Provides comprehensive methods to measure disclosure risk and data
    utility for anonymized and synthetic data. Implements attribution-based risk
    metrics including Correct Attribution Probability (CAP), Targeted CAP (TCAP),
    Within Equivalence Class Attribution Probability (WEAP), and RAPID (Risk of
    Attribute Prediction-Induced Disclosure). Also provides distance-based privacy
    metrics such as Distance to Closest Record (DCR), Nearest Neighbor Distance
    Ratio (NNDR), and Identical Match Share (IMS). Utility assessment includes
    propensity score analysis, distribution comparisons, and various statistical
    tests. Methods are based on Taub et al. (2018) <doi:10.1007/978-3-319-99771-1_9>
    and related literature. Designed for integration with 'simPop' S4 classes.

Provides a complete seven-step workflow for copy number variation
    (CNV) analysis applicable to any disease or condition where samples with genomic copy
    number data is available. Supports built-in grading and risk stratification
    presets for seven major cancers (viz. prostate, breast, colorectal, lung,
    cervical, lymphoma, melanoma) based on clinically validated systems including
    ISUP Grade Groups, Nottingham Grading System, Dukes staging, IASLC TNM,
    FIGO, Ann Arbor/Lugano classification, and Breslow depth. Generalizable to other disease types. An automatic mode
    derives a normalised Risk Score from the data using min-max normalisation
    and adaptive binning. Custom user-defined thresholds are supported for
    any other disease type. Downstream functions for CNV aberration detection,
    recurrence analysis, gene annotation, CNV matrix generation, and CNV-RNA
    expression correlation are disease-type agnostic.