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:
Downloads:
Reverse dependencies:
Linking:
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