Package: bspline
Type: Package
Title: B-Spline Interpolation and Regression
Version: 2.5.1
Authors@R: person(given = "Serguei",
                    family = "Sokol",
                    role = c("aut", "cre"),
                    email = "sokol@insa-toulouse.fr")
Description: Build and use B-splines for interpolation and regression.
  In case of regression, equality constraints as well as monotonicity
  and/or positivity of B-spline weights can be imposed. Moreover, 
  knot positions can be on regular grid or be part of 
  optimized parameters too (in addition to the spline weights).
  For this end, 'bspline' is able to calculate
  Jacobian of basis vectors as function of knot positions. User is provided with 
  functions calculating spline values at arbitrary points. These 
  functions can be differentiated and integrated to obtain B-splines calculating 
  derivatives/integrals at any point. B-splines of this package can 
  simultaneously operate on a series of curves sharing the same set of 
  knots. 'bspline' is written with concern about computing 
  performance that's why the basis and Jacobian calculation is implemented in C++.
  The rest is implemented in R but without notable impact on computing speed.
URL: https://github.com/MathsCell/bspline
BugReports: https://github.com/MathsCell/bspline/issues
License: GPL-2
Encoding: UTF-8
Imports: Rcpp (>= 1.0.7), nlsic (>= 1.1.0), arrApply
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.3.2
Suggests: RUnit
Copyright: INRAE/INSA/CNRS
NeedsCompilation: yes
Packaged: 2026-01-27 13:54:00 UTC; sokol
Author: Serguei Sokol [aut, cre]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>
Repository: CRAN
Date/Publication: 2026-01-27 16:50:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 15:18:46 UTC; unix
Archs: bspline.so.dSYM
