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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 nanx.me>
BugReports: https://github.com/nanxstats/oneclust/issues
License: GPL-3
URL: https://nanx.me/oneclust/, https://github.com/nanxstats/oneclust
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: oneclust results

Documentation:

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

Downloads:

Package source: oneclust_0.3.0.tar.gz
Windows binaries: r-devel: oneclust_0.3.0.zip, r-release: oneclust_0.3.0.zip, r-oldrel: oneclust_0.3.0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=oneclust 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.
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