Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering
Overview
Convert irregularly spaced longitudinal data into regular intervals for further analysis, and perform clustering using advanced machine learning techniques. The package is designed for handling complex longitudinal datasets, optimizing them for research in healthcare, demography, and other fields requiring temporal data modeling.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 7
- Examples that run
- 86%6 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 43%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.2.0Latest2025-07-27 · current release · diff ↗ ·
removed 3 exports
irregclst, irregclst1, irregclst2added 5 exports
dropplot, err, intlen, irr, lrrr - RR 4.5.0 released · 2025-04-11
- 0.1.02024-12-02
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-12-02
- Total releases
- 2 / 2 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 177 KB / 4 files
- Download size
- 190 KB
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