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CompositionalNAimp  

Missing Value Imputation with Compositional Data
View on CRAN: Click here


Download and install CompositionalNAimp package within the R console
Install from CRAN:
install.packages("CompositionalNAimp")

Install from Github:
library("remotes")
install_github("cran/CompositionalNAimp")

Install by package version:
library("remotes")
install_version("CompositionalNAimp", "1.0")



Attach the package and use:
library("CompositionalNAimp")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-31
Latest Update: 2026-03-31
Description:
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).
How to cite:
Michail Tsagris (2026). CompositionalNAimp: Missing Value Imputation with Compositional Data. R package version 1.0, https://cran.r-project.org/web/packages/CompositionalNAimp. Accessed 07 Jun. 2026.
Previous versions and publish date:
1.0 (2026-03-31 11:50)
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Complete documentation for CompositionalNAimp
Functions, R codes and Examples using the CompositionalNAimp R package
Full CompositionalNAimp package functions and examples
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