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

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

## Documentation for package ‘zCompositions’ version 1.5.0-3

- DESCRIPTION file.
- Package NEWS.

## Help Pages

zCompositions-package | Treatment of Zeros, Left-Censored and Missing Values in Compositional Data Sets
cmultRepl | Bayesian-Multiplicative replacement of count zeros
lcTest | Log-contrast homogeneity test
LPdata | La Paloma data set
LPdataZM | La Paloma data set (incl. zeros and missing data)
lrDA | Log-ratio DA algorithm
lrEM | Log-ratio EM algorithm
lrEMplus | Log-ratio EM algorithm (plus)
lrSVD | Log-ratio SVD algorithm
lrSVDplus | Log-ratio SVD algorithm (plus)
mdl | Water data set: matrix of limits of detection
multKM | Multiplicative Kaplan-Meier smoothing spline (KMSS) replacement
multLN | Multiplicative lognormal replacement
multRepl | Multiplicative simple replacement
multReplus | Multiplicative simple replacement (plus)
Pigs | Pigs data set
splineKM | Display Kaplan-Meier empirical cumulative distribution function and smoothing spline curve fit
Water | Water data set
zPatterns | Find and display patterns of zeros/missing values in a data set
zVarArray | Variation array for grouped data
zVarArrayError | Variation array relative error
zVarArrayTest | Variation array homogeneity test