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README.md
In oneclust: Maximum Homogeneity Clustering for Univariate Data
oneclust 
Implements the maximum homogeneity clustering algorithm for
one-dimensional data described in W. D. Fisher (1958)
\<doi:10.1080/01621459.1958.10501479>
via dynamic programming.
Check vignette("oneclust") for its applications in feature
engineering, regression modeling, and peak calling.
Installation
You can install oneclust from CRAN:
install.packages("oneclust")
Or try the development version from GitHub:
remotes::install_github("nanxstats/oneclust")
Gallery
Feature engineering for high-cardinality categorical features
Grouping coefficients in regression models
Sequential data peak calling and segmentation
License
oneclust is free and open source software, licensed under GPL-3.
Try the oneclust package in your browser
Any scripts or data that you put into this service are public.
oneclust documentation built on June 22, 2024, 12:18 p.m.
R Package Documentation
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oneclust
Implements the maximum homogeneity clustering algorithm for one-dimensional data described in W. D. Fisher (1958) \<doi:10.1080/01621459.1958.10501479> via dynamic programming.
Check vignette("oneclust") for its applications in feature
engineering, regression modeling, and peak calling.
Installation
You can install oneclust from CRAN:
install.packages("oneclust")
Or try the development version from GitHub:
remotes::install_github("nanxstats/oneclust")
Gallery
Feature engineering for high-cardinality categorical features
Grouping coefficients in regression models
Sequential data peak calling and segmentation
License
oneclust is free and open source software, licensed under GPL-3.
Try the oneclust package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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