Package: BsplineQuantRegGui 0.2.2

BsplineQuantRegGui: Interactive 'Shiny' Interface for 'BsplineQuantReg'

A user-friendly interactive Shiny interface for the 'BsplineQuantReg' package, enabling quantile regression using B-splines with shape constraints, based on the method described in Abbes (2025). Almost all parameters of the main function 'quantile_spline()' can be tuned. Features include interactive knot placement, per-region constraint specification, 'CSV' data import, direct demo access, reproducible R code generation, and solver selection. The version 0.2.2 handles knots multiplicity, Bspline basis visualisation, mean-square regression, pp form visualisation under human readable form, in local or canonical bases, The GUI provides two modes, basic (compatible with 'BsplineQuantReg' >= 0.2.2) and advanced (requires 'BsplineQuantReg' >= 0.2.5 for stable multiplicity features). This GUI an improved version of the 'Python Tk' version of 'BsplineQuantRegPy'.

Authors:Alexandre Abbes [aut, cre]