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

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Documentation for package ‘zCompositions’ version 1.4.0-1

• DESCRIPTION file.
• Package NEWS.

Help Pages

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
zCompositions	Treatment of zeros and nondetects in compositional data sets
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