Statistical Matching or Data Fusion
Statistical Matching of data from complex sample surveys
Compares two distributions of the same continuous variable
Compares two distributions of the same categorical variable
Creates a matched (synthetic) dataset
Fills-in missing values in the recipient dataset with values observed ...
Transforms a categorical variable in a set of dummy variables
Estimates Frechet bounds for cells in the contingency table crossing t...
Computes the Frechet bounds of cells in a contingency table by conside...
Frechet bounds of cells in a contingency table
Computes the Gower's Distance
Harmonizes the marginal (joint) distribution of a set of variables obs...
Computes the Mahalanobis Distance
Computes the Maximum Distance
Statistical Matching via Mixed Methods
Distance Hot Deck method.
Pseudo-Bayes estimates of cell probabilities
Graphical representation of the uncertainty bounds estimated through t...
graphical comparison of the estimated distributions for the same conti...
Graphical comparison of the estimated distributions for the same categ...
Pairwise measures between categorical variables
Random Distance hot deck.
Rank distance hot deck method.
Estimates plausible values of the Pearson's correlation coefficient be...
Estimates plausible values of the Pearson's correlation coefficient be...
Identifies the best combination if matching variables in reducing unce...
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.
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