oneclust: Maximum Homogeneity Clustering for Univariate Data

Maximum homogeneity clustering algorithm for one-dimensional data described in W. D. Fisher (1958) <doi:10.1080/01621459.1958.10501479> via dynamic programming.

Version: 0.3.0
Depends: R (≥ 3.5.0)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
Published: 2024-03-11
DOI: 10.32614/CRAN.package.oneclust
Author: Nan Xiao ORCID iD [aut, cre]
Maintainer: Nan Xiao <me at>
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: oneclust results


Reference manual: oneclust.pdf
Vignettes: Maximum Homogeneity Clustering for One-Dimensional Data


Package source: oneclust_0.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): oneclust_0.3.0.tgz, r-oldrel (arm64): oneclust_0.3.0.tgz, r-release (x86_64): oneclust_0.3.0.tgz, r-oldrel (x86_64): oneclust_0.3.0.tgz
Old sources: oneclust archive


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