Statistical Matching or Data Fusion

Documentation for package ‘StatMatch’ version 1.4.1

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StatMatch-package	Statistical Matching or Data Fusion
comb.samples	Statistical Matching of data from complex sample surveys
comp.cont	Empirical comparison of two estimated distributions of the same continuous variable
comp.prop	Compares two distributions of the same categorical variable
create.fused	Creates a matched (synthetic) dataset
fact2dummy	Transforms a categorical variable in a set of dummy variables
Fbwidths.by.x	Computes the Frechet bounds of cells in a contingency table by considering all the possible subsets of the common variables.
Frechet.bounds.cat	Frechet bounds of cells in a contingency table
gower.dist	Computes the Gower's Distance
harmonize.x	Harmonizes the marginal (joint) distribution of a set of variables observed independently in two sample surveys referred to the same target population
mahalanobis.dist	Computes the Mahalanobis Distance
maximum.dist	Computes the Maximum Distance
mixed.mtc	Statistical Matching via Mixed Methods
NND.hotdeck	Distance Hot Deck method.
pBayes	Pseudo-Bayes estimates of cell probabilities
plotBounds	Graphical representation of the uncertainty bounds estimated through the 'Frechet.bounds.cat' function
plotCont	graphical comparison of the estimated distributions for the same continuous variable.
plotTab	Graphical comparison of the estimated distributions for the same categorical variable.
pw.assoc	Pairwise measures between categorical variables
RANDwNND.hotdeck	Random Distance hot deck.
rankNND.hotdeck	Rank distance hot deck method.
samp.A	Artificial data set resembling EU-SILC survey
samp.B	Artificial data set resembling EU-SILC survey
samp.C	Artificial data set resembling EU-SILC survey
selMtc.by.unc	Identifies the best combination if matching variables in reducing uncertainty in estimation the contingency table Y vs. Z.
StatMatch	Statistical Matching or Data Fusion