An extension to the individual claim simulator called 'SynthETIC'
    (on CRAN), to simulate the evolution of case estimates of incurred losses
    through the lifetime of an insurance claim. The transactional simulation
    output now comprises key dates, and both claim payments and revisions of
    estimated incurred losses. An initial set of test parameters, designed to
    mirror the experience of a real insurance portfolio, were set up and applied
    by default to generate a realistic test data set of incurred histories (see
    vignette). However, the distributional assumptions used to generate this
    data set can be easily modified by users to match their experiences.
    Reference: Avanzi B, Taylor G, Wang M (2021) "SPLICE: A Synthetic Paid Loss
    and Incurred Cost Experience Simulator" <arXiv:2109.04058>.

Implements a two-stage estimation approach for Cox 
    regression using five-parameter M-spline functions to model the baseline hazard. It allows
    for flexible hazard shapes and model selection based on log-likelihood criteria as described in
    Teranishi et al.(2025).
    In addition, the package provides functions for constructing and evaluating B-spline copulas 
    based on five M-spline or I-spline basis functions, allowing users to flexibly model and 
    compute bivariate dependence structures. Both the copula function and its density can be evaluated.
    Furthermore, the package supports computation of dependence measures such as Kendall's tau and 
    Spearman's rho, derived analytically from the copula parameters.

Creates 'ggplot2'-based visualizations of smooth effects from GAM (Generalized Additive Models)
    fitted with 'mgcv' and spline effects from GLM (Generalized Linear Models). Supports interaction terms
    and provides hazard ratio plots with histograms for survival analysis.
    Wood (2017, ISBN:9781498728331) provides comprehensive methodology for generalized additive models.

Constructs basis functions of B-splines, M-splines,
    I-splines, convex splines (C-splines), periodic splines,
    natural cubic splines, generalized Bernstein polynomials,
    their derivatives, and integrals (except C-splines)
    by closed-form recursive formulas.
    It also contains a C++ head-only library integrated with Rcpp.
    See Wang and Yan (2021) <doi:10.6339/21-JDS1020> for details.