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>
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_0.2.1.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
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


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