Package: CompositionalNAimp 1.1

Michail Tsagris

CompositionalNAimp: Missing Value Imputation with Compositional Data

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>.

Authors:Michail Tsagris [aut, cre]

CompositionalNAimp_1.1.tar.gz
CompositionalNAimp_1.1.tar.gz(r-4.7-any)CompositionalNAimp_1.1.tar.gz(r-4.6-any)
CompositionalNAimp_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CompositionalNAimp/json (API)

# Install 'CompositionalNAimp' in R:
install.packages('CompositionalNAimp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 155 downloads 4 exports 94 dependencies

Last updated from:645622f3db. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK186
source / vignettesOK227
linux-release-x86_64OK180
wasm-releaseOK178

Exports:alfa.knnimpalfaknnimp.tunecv.knnimpknnimp

Dependencies:base64encBHbigassertrbigparallelrbigstatsrbitbslibcachemclasscliclustercodetoolsCompositionalcowplotcpp11digestdoParallelemplikevaluatefarverfastmapffflockfontawesomeforeachfsggplot2glmnetgluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamemoisemimeminpack.lmmixturemnormtnnetnumDerivosqpparallellypillarpkgconfigpsquadprogquantregR6rangenrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRfastRfast2rglRhpcBLASctlrlangrmarkdownrmioRnanoflannRSpectraS7sassscalesshapesnSparseMsurvivaltibbletinytexutf8vctrsviridisLitewithrxfunyamlzigg