Continuous-Time Multivariate Analysis
Overview
Implements a basis function or functional data analysis framework for several techniques of multivariate analysis in continuous-time setting. Specifically, we introduced continuous-time analogues of several classical techniques of multivariate analysis, such as principal component analysis, canonical correlation analysis, Fisher linear discriminant analysis, K-means clustering, and so on. Details are in Biplab Paul, Philip T. Reiss, Erjia Cui and Noemi Foa (2025) "Continuous-time multivariate analysis" <doi: 10.1080/10618600.2024.2374570>.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 24 (2 internal)
- Examples that run
- 18%3 run in a plain check (2 of them under a condition) · 5 never run · 9 hold no code
- Exported functions with examples
- 73%
- Documented parameters
- 81%
- Return-value docs
- 95%
- Help pages citing references
- 4%
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.6.0Latest2026-02-01 · current release · diff ↗ ·
added 4 exports
mds.ct, procrustes.mds.ct, procrustes.plot.mds, s3 - 1.5.0
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.4.0
- 1.3.02023-07-19 · diff ↗
- 1.2.0
- RR 4.3.0 released · 2023-04-21
- 1.1.02022-12-20 · diff ↗
- 1.02022-08-18
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-08-18
- Total releases
- 7 / 4 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 31 KB
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