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Optimal partitioning algorithm for change-in-slope problem with continuity constraint and a finite number of states. Some constraints can be enforced in the inference: isotonic, unimodal or smoothing. With the function slopeSN() (segment neighborhood) the number of segments to infer is fixed by the user and does not depend on a penalty value.
Version: | 1.0.1 |
Imports: | Rcpp (≥ 1.0.0) |
LinkingTo: | Rcpp |
Published: | 2020-11-23 |
DOI: | 10.32614/CRAN.package.slopeOP |
Author: | Vincent Runge [aut, cre], Marco Pascucci [aut] |
Maintainer: | Vincent Runge <vincent.runge at univ-evry.fr> |
License: | MIT + file LICENSE |
NeedsCompilation: | yes |
CRAN checks: | slopeOP results [issues need fixing before 2024-08-03] |
Reference manual: | slopeOP.pdf |
Package source: | slopeOP_1.0.1.tar.gz |
Windows binaries: | r-devel: slopeOP_1.0.1.zip, r-release: slopeOP_1.0.1.zip, r-oldrel: slopeOP_1.0.1.zip |
macOS binaries: | r-release (arm64): slopeOP_1.0.1.tgz, r-oldrel (arm64): slopeOP_1.0.1.tgz, r-release (x86_64): slopeOP_1.0.1.tgz, r-oldrel (x86_64): slopeOP_1.0.1.tgz |
Old sources: | slopeOP archive |
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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.