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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". Journal of Applied Statistics (Accepted for publication).
| Version: | 1.0 |
| Depends: | R (≥ 4.0) |
| Imports: | Compositional, graphics, Rfast, Rnanoflann |
| Suggests: | Rfast2 |
| Published: | 2026-03-31 |
| DOI: | 10.32614/CRAN.package.CompositionalNAimp |
| Author: | Michail Tsagris [aut, cre] |
| Maintainer: | Michail Tsagris <mtsagris at uoc.gr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | CompositionalNAimp results |
| Reference manual: | CompositionalNAimp.html , CompositionalNAimp.pdf |
| Package source: | CompositionalNAimp_1.0.tar.gz |
| Windows binaries: | r-devel: CompositionalNAimp_1.0.zip, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): CompositionalNAimp_1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): CompositionalNAimp_1.0.tgz, r-oldrel (x86_64): CompositionalNAimp_1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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