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  [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-release: oneclust_0.2.1.zip, r-oldrel: oneclust_0.2.1.zip |
| macOS binaries: | r-release (arm64): oneclust_0.2.1.tgz, r-oldrel (arm64): oneclust_0.2.1.tgz, r-release (x86_64): oneclust_0.2.1.tgz, r-oldrel (x86_64): oneclust_0.2.1.tgz |
Linking:
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