Version=0.2.1 (07/2026) ============= ## Bug Fixes - Deprecated notation in CVXR - Small bug preventing the regression when the number of knots is minimal (only one piece) - eval_pp : add extroplating values out of the knots range - Fixed issues with `der3cons` vector lengths for different degrees - Fixed third derivative constraints for cubic splines ## Changes - Updated CVXR syntax, removed deprecated functions and cleaned up code - Improved solver selection logic with fallback mechanism - Stabilizing bsline_eval and eval_pp functions for 1 intervall case and extrapolation - quantile_spline() : callable=TRUE is now default value - Improved `make_spline` and 'spline_eval' function to handle both list and callable objects - Complete constraints if not enough are provided if degree=3 - Update `print.callable_spline` method Version=0.2.0 (07/2026) ============= 0) minor updates - Removed "beta" status - Added system requirements (Rust/Cargo for Linux) to README - Updated CRAN badges 1) Concerning knots - Replaced the variable "knots" by the variable "knot" everywhere to avoid confusion with knots() R build-in function - changed notation paradigm: variable "knot" refers to knots including ends (replace int_knots in version 1.0.1) variable "ext_knot" refers to extended knot partition (replace knots in version 1.0.1) 3) Spline Evaluation -Added case degree=0 which caused problems since some variables (coeff) lose 1 dimension. R automaticaly reduces the dimension of the arrays. -Rendered the spline container (list of knots, coefficients, degree) callable -Allowed the call of a spline to pass the spline basis coefficient to accelerate the computations (as well as in the function eval_spline) 4) Add other degree for constrained regression - quartic splines using Karlin-studen technique for cubic polynomial (monotone) and quadratic polynomial (convex). - quadratic and linear splines. No major theoretical difficulty. - Unify all regression functions in a quantile_spline function with selection of the degree as a parameter