Package: zCompositions 1.5.0-4

zCompositions: Treatment of Zeros, Left-Censored and Missing Values in Compositional Data Sets

Principled methods for the imputation of zeros, left-censored and missing data in compositional data sets (Palarea-Albaladejo and Martin-Fernandez (2015) <doi:10.1016/j.chemolab.2015.02.019>).

Authors:Javier Palarea-Albaladejo [cre, aut], Josep Antoni Martin-Fernandez [aut]

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NEWS

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

Peer review:

Bug tracker:https://github.com/japal/zcompositions/issues

Datasets:
  • LPdata - La Paloma data set
  • LPdataZM - La Paloma data set
  • Pigs - Pigs data set
  • Water - Water data set
  • mdl - Water data set: matrix of limits of detection

On CRAN:

censored-datacompositional-dataimputation-methodsmissing-datanondetection

16 exports 5 stars 5.50 score 6 dependencies 11 dependents 56 mentions 277 scripts 3.0k downloads

Last updated 3 months agofrom:710c849e07. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-winOKSep 17 2024
R-4.5-linuxOKSep 17 2024
R-4.4-winOKSep 17 2024
R-4.4-macOKSep 17 2024
R-4.3-winOKSep 17 2024
R-4.3-macOKSep 17 2024

Exports:cmultRepllcTestlrDAlrEMlrEMpluslrSVDlrSVDplusmultKMmultLNmultReplmultReplussplineKMzPatternszVarArrayzVarArrayErrorzVarArrayTest

Dependencies:latticeMASSMatrixNADAsurvivaltruncnorm