R: 'Constrained Quantile Regression with Cubic B-Splines'

# 'Constrained Quantile Regression with Cubic B-Splines'

## Documentation for package ‘BsplineQuantReg’ version 0.1.0

- DESCRIPTION file.
- Code demos. Use demo() to run them.

## Help Pages

apply_karlin_constraints | Karlin-Studden constraints for positivity
Bspline_base | Build B-spline basis in piecewise polynomial form Computes local polynomial coefficients for each B-spline basis function on each interval. Polynomials are expressed in the canonical basis Uses De Boor's recursion formula.
Bspline_deriv | Differentiate a B-spline basis
bspline_to_deriv_coeffs_pp | Convert B-spline to derivative coefficients
bs_direct | Direct evaluation of a B-spline basis
change_polynomial_base_taylor | Change polynomial basis (Taylor expansion)
is_beta | Check if package is beta version
package_version | Get package version
polyadd | Polynomial addition
polyderiv | Polynomial derivative Computes the derivative of order 'der' of a polynomial.
polymul | Polynomial multiplication
poly_eval | Evaluate polynomial
reduce_pol | Reduce polynomial
SplineConstQuantRegBs3 | Constrained quantile regression with cubic splines
Spline_der_knots | Derivatives at knots of a B-spline
spline_eval | Evaluate a B-spline
test_karlin_simple | Comprehensive test function
view_basis | Visualize a B-spline functions basis