splineCox: A Two-Stage Estimation Approach to Cox Regression Using M-Spline
Function
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.
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