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StatMatch

Statistical Matching or Data Fusion

Integration of two data sources referred to the same target population which share a number of variables. Some functions can also be used to impute missing values in data sets through hot deck imputation methods. Methods to perform statistical matching when dealing with data from complex sample surveys are available too.

Functions (24)

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

NND.hotdeck

Distance Hot Deck method.

RANDwNND.hotdeck

Random Distance hot deck.

SelMtc.by.unc

Identifies the best combination if matching variables in reducing uncertainty in estimation the contingency table Y vs. Z.

StatMatch-package

Statistical Matching or Data Fusion

comb.samples

Statistical Matching of data from complex sample surveys

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

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

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.