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oneclust  

Maximum Homogeneity Clustering for Univariate Data
View on CRAN: Click here


Download and install oneclust package within the R console
Install from CRAN:
install.packages("oneclust")

Install from Github:
library("remotes")
install_github("cran/oneclust")

Install by package version:
library("remotes")
install_version("oneclust", "0.3.0")



Attach the package and use:
library("oneclust")
Maintained by
Nan Xiao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-01
Latest Update: 2024-03-11
Description:
Maximum homogeneity clustering algorithm for one-dimensional data described in W. D. Fisher (1958) via dynamic programming.
How to cite:
Nan Xiao (2020). oneclust: Maximum Homogeneity Clustering for Univariate Data. R package version 0.3.0, https://cran.r-project.org/web/packages/oneclust. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:37), 0.2.1 (2020-09-01 10:50), 0.2.2 (2022-08-15 13:40), 0.2.3 (2023-03-07 01:10)
Other packages that cited oneclust R package
View oneclust citation profile
Other R packages that oneclust depends, imports, suggests or enhances
Complete documentation for oneclust
Functions, R codes and Examples using the oneclust R package
Some associated functions: cud . oneclust . pipe . sim_postcode_levels . sim_postcode_samples . 
Some associated R codes: RcppExports.R . cud.R . oneclust-package.R . oneclust.R . sim.R . utils-pipe.R .  Full oneclust package functions and examples
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