Vector in Partition
Overview
Non-parametric clustering of joint pattern multi-genetic/epigenetic factors. This package contains functions designed to cluster subjects based on gene features including single nucleotide polymorphisms (SNPs), DNA methylation (CPG), gene expression (GE), and covariate data. The novel concept follows the general K-means (Hartigan and Wong (1979) doi:10.2307/2346830 framework but uses weighted Euclidean distances across the gene features to cluster subjects. This approach is unique in that it attempts to capture all pairwise interactions in an effort to cluster based on their complex biological interactions.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
Show 2 earlier changesHide 2 earlier changes
- NOTE13 OK, 1 NOTE2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 11
- Examples that run
- 9%1 run in a plain check · 10 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 45%
Downloads
Dependencies
Installing RHclust adds 24 packages (17 with compiled code, 22 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
Code & Tests
People & History
Package metadata
- First published
- 2021-05-06
- Total releases
- 4 / 5 yrs
- License
- Artistic-2.0 OSI
- Download size
- 37 KB
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