Clustering of Functional Data via Mixtures of t-Distributions
Overview
Extension of 'funHDDC' Schmutz et al. (2018) doi:10.1007/s00180-020-00958-4 for cases including outliers by fitting t-distributions for robust groups. 'TFunHDDC' can cluster univariate or multivariate data produced by the 'fda' package for data using a b-splines or Fourier basis.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 8
- Examples that run
- 71%5 run in a plain check · 2 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
- 75%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.12023-06-04 · diff ↗
- 1.0.02023-05-24
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-05-24
- Total releases
- 3 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 155 KB / 1 file
- Download size
- 191 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("TFunHDDC")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1007/s11634-023-00542-w.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.