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: 0.2.1
Imports: Rcpp, magrittr
LinkingTo: Rcpp
Suggests: genlasso, knitr, rmarkdown
Published: 2020-09-01
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_0.2.1.tar.gz
Windows binaries: r-devel: oneclust_0.2.1.zip, r-devel-UCRT: oneclust_0.2.1.zip, r-release: oneclust_0.2.1.zip, r-oldrel: oneclust_0.2.1.zip
macOS binaries: r-release (arm64): oneclust_0.2.1.tgz, r-release (x86_64): oneclust_0.2.1.tgz, r-oldrel: oneclust_0.2.1.tgz

Linking:

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