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

---

Documentation for package ‘zCompositions’ version 1.5.0-4

• 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