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
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
Old sources: oneclust archive

Linking:

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