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