R: Statistical Matching or Data Fusion

# Statistical Matching or Data Fusion

## Documentation for package ‘StatMatch’ version 1.4.3

- DESCRIPTION file
- Package NEWS

## Help Pages

StatMatch-package | Statistical Matching or Data Fusion
comb.samples | Statistical Matching of data from complex sample surveys
comp.cont | Compares two distributions of the same continuous variable
comp.prop | Compares two distributions of the same categorical variable
create.fused | Creates a matched (synthetic) dataset
create.imputed | Fills-in missing values in the recipient dataset with values observed on the donors units
fact2dummy | Transforms a categorical variable in a set of dummy variables
Fbounds.pred | Estimates Frechet bounds for cells in the contingency table crossing two categorical variables observed in distinct samples referred to the same target population.
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.
rho.bounds | Estimates plausible values of the Pearson's correlation coefficient between two variables observed in distinct samples referred to the same target population.
rho.bounds.pred | Estimates plausible values of the Pearson's correlation coefficient between two variables observed in distinct samples referred to the same target population.
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