Perform Monothetic Clustering with Extensions to Circular Data
Overview
Implementation of the Monothetic Clustering algorithm (Chavent, 1998 doi:10.1016/S0167-8655(98)00087-7) on continuous data sets. A lot of extensions are included in the package, including applying Monothetic clustering on data sets with circular variables, visualizations with the results, and permutation and cross-validation based tests to support the decision on the number of clusters.
Bugs and Improvements
MonoClus(): default value fordistmethodargument is nowNULLso that the it can be set to Euclidean (whencir.varis not set) or Gower distance (whencir.varis set).- Fix typos and a trailing space in the warning message of
as_MonoClust()function. - Small improvement in how
ncoresargument is processed inperm.test()andcv.test(). It did not have a problem before but the improvement helps remove errors in Github Actions CI in Windows environment. \@figtags in the vignette is removed.- URL to lifecycle badge in README.md is updated.
- Start unit test component with the first test is for
as_MonoClust()function.
From NEWS.md in the release
Install
Health
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) circ_dist.Rd:21: Lost braces; missing escapes or markup?
21 | The distance between two observations {i} and {j} of a circular variable {q}
| ^
checkRd: (-1) circ_dist.Rd:21: Lost braces; missing escapes or markup?
21 | The distance between two observations {i} and {j} of a circular variable {q}
| ^
checkRd: (-1) circ_dist.Rd:21: Lost braces; missing escapes or markup?
21 | The distance between two observations {i} and {j} of a circular variable {q}
| ^- NOTE13 NOTENow
- NOTE14 NOTE2026-03-10
Documentation
- Help pages
- 38 (18 internal)includes a package overview page
- Examples that run
- 67%10 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 83%
- Documented parameters
- 99%
- Return-value docs
- 91%
- Help pages citing references
- 16%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Releases over time
11 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/vinhtantran/monoclust on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2021-02-22 · The repository has a site deploy workflow
Show all practicesHide 2 practices
Dependencies
Installing monoClust adds 33 packages (15 with compiled code, 29 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, isoband 1.5 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.2.1Latest
- 1.2.0
- 1.1.02020-11-17 · diff ↗
- 1.0.02020-11-06
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-11-06
- Total releases
- 4 / 6 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.3.0
- Bundled data
- 6.5 KB / 2 files
- Download size
- 146 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("monoClust")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
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From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.