fdaMocca
0.1-2Model-Based Clustering for Functional Data with Covariates
Overview
Routines for model-based functional cluster analysis for functional data with optional covariates. The idea is to cluster functional subjects (often called functional objects) into homogenous groups by using spline smoothers (for functional data) together with scalar covariates. The spline coefficients and the covariates are modelled as a multivariate Gaussian mixture model, where the number of mixtures corresponds to the number of clusters. The parameters of the model are estimated by maximizing the observed mixture likelihood via an EM algorithm (Arnqvist and Sjöstedt de Luna, 2019) doi:10.48550/arXiv.1904.10265. The clustering method is used to analyze annual lake sediment from lake Kassjön (Northern Sweden) which cover more than 6400 years and can be seen as historical records of weather and climate.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 75%
- Return-value docs
- 100%
- References docs
- 90%
Downloads
Dependencies
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Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1-2Latest
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1-12022-07-21 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.1-02021-10-21
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-10-21
- Total releases
- 3 / 5 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.4.0
- Bundled data
- 1.2 MB / 5 files
- Download size
- 1.2 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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