Missing Value Imputation with Compositional Data
Overview
Functions to perform missing value imputation with compositional data using the Jensen-Shannon divergence based k--NN and a--k--NN algorithms. The functions are based on the following paper: Tsagris M., Alenazi A. and Stewart C. (2026). "A Jensen--Shannon divergence based k--NN algorithm for missing value imputation in compositional data", doi:10.1080/02664763.2026.2677908.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-04-01
Documentation
- Help pages
- 5includes a package overview page
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 100%
Downloads
Dependencies
Installing CompositionalNAimp adds 87 packages (52 with compiled code, 68 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, bslib 5.6 MB.
Code & Tests
People & History
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- 1.1Latest
- RR 4.6.0 released · 2026-04-24
- 1.02026-03-31
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-03-31
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0
- Download size
- 5.2 KB
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