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StatMatch (version 1.3.0)

Statistical Matching or Data Fusion

Description

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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Version

Install

install.packages('StatMatch')

Monthly Downloads

1,008

Version

1.3.0

License

GPL (>= 2)

Maintainer

Marcello D'Orazio

Last Published

March 15th, 2019

Functions in StatMatch (1.3.0)

mahalanobis.dist

Computes the Mahalanobis Distance

Artificial data set resembling EU--SILC survey

Computes the Maximum Distance

Artificial data set resembling EU--SILC survey

rankNND.hotdeck

Rank distance hot deck method.

Pairwise measures between categorical variables

Pseudo-Bayes estimates of cell probabilities

Computes the Gower's Distance

Statistical Matching via Mixed Methods

Compares two distributions of the same categorical variable

Artificial data set resembling EU--SILC survey

Harmonizes the marginal (joint) distribution of a set of variables observed independently in two sample surveys referred to the same target population

Creates a matched (synthetic) dataset

RANDwNND.hotdeck

Random Distance hot deck.

Distance Hot Deck method.

Transforms a categorical variable in a set of dummy variables

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

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

Statistical Matching of data from complex sample surveys