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dspline: Tools for Computations with Discrete Splines

Discrete splines are a class of univariate piecewise polynomial functions which are analogous to splines, but whose smoothness is defined via divided differences rather than derivatives. Tools for efficient computations relating to discrete splines are provided here. These tools include discrete differentiation and integration, various matrix computations with discrete derivative or discrete spline bases matrices, and interpolation within discrete spline spaces. These techniques are described in Tibshirani (2020) <doi:10.48550/arXiv.2003.03886>.

Version: 1.0.2
Imports: Matrix, Rcpp, rlang
LinkingTo: Rcpp, RcppEigen
Suggests: testthat (≥ 3.0.0)
Published: 2025-05-14
DOI: 10.32614/CRAN.package.dspline
Author: Logan Brooks [ctb], Addison Hu [aut], Daniel McDonald [ctb], Ryan Tibshirani [aut, cre, cph]
Maintainer: Ryan Tibshirani <ryantibs at gmail.com>
BugReports: https://github.com/glmgen/dspline/issues
License: MIT + file LICENSE
URL: https://github.com/glmgen/dspline, https://glmgen.github.io/dspline/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: dspline results

Documentation:

Reference manual: dspline.pdf

Downloads:

Package source: dspline_1.0.2.tar.gz
Windows binaries: r-devel: dspline_1.0.2.zip, r-release: dspline_1.0.2.zip, r-oldrel: not available
macOS binaries: r-release (arm64): dspline_1.0.2.tgz, r-oldrel (arm64): dspline_1.0.2.tgz, r-release (x86_64): dspline_1.0.2.tgz, r-oldrel (x86_64): dspline_1.0.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dspline to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.