schumaker: Schumaker Shape-Preserving Spline

This is a shape preserving spline <doi:10.1137/0720057> which is guaranteed to be monotonic and concave or convex if the data is monotonic and concave or convex. It does not use any optimisation and is therefore quick and smoothly converges to a fixed point in economic dynamics problems including value function iteration. It also automatically gives the first two derivatives of the spline and options for determining behaviour when evaluated outside the interpolation domain.

Version: 1.2.1
Suggests: testthat, knitr, numDeriv, cobs, scam, rbenchmark
Published: 2021-09-09
DOI: 10.32614/CRAN.package.schumaker
Author: Stuart Baumann [aut, cre], Margaryta Klymak[aut]
Maintainer: Stuart Baumann <Stuart at>
License: MIT + file LICENSE
NeedsCompilation: no
In views: NumericalMathematics
CRAN checks: schumaker results


Reference manual: schumaker.pdf
Vignettes: Schumaker Spline


Package source: schumaker_1.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): schumaker_1.2.1.tgz, r-oldrel (arm64): schumaker_1.2.1.tgz, r-release (x86_64): schumaker_1.2.1.tgz, r-oldrel (x86_64): schumaker_1.2.1.tgz
Old sources: schumaker archive

Reverse dependencies:

Reverse suggests: FixedPoint


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