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StatMatch (version 1.2.2)

Statistical Matching (aka data fusion)

Description

The package StatMatch provides some R functions to perform statistical matching (aka data fusion), i.e. the integration of two data sources referred to the same target population which share a number of common 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

1.2.2

License

GPL (>= 2)

Maintainer

Marcello D'Orazio

Last Published

June 19th, 2014

Functions in StatMatch (1.2.2)

Statistical Matching of data from complex sample surveys

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

Computes the Frechet bounds of cells in a contingency table by considering all the possible subsets of the common variables.

Creates a matched (synthetic) dataset

Distance Hot Deck method.

RANDwNND.hotdeck

Random Distance hot deck.

Artificial data set resembling EU--SILC survey

Pairwise association measure between categorical variables

Transforms a categorical variable in a set of dummy variables

Compares two distributions of categorical variables

Artificial data set resembling EU--SILC survey

Computes the Maximum Distance

Computes the Gower's Distance

Statistical Matching via Mixed Methods

mahalanobis.dist

Computes the Mahalanobis Distance

StatMatch-package

Statistical Matching or Data Fusion

Artificial data set resembling EU--SILC survey

Frechet.bounds.cat

Frechet bounds of cells in a contingency table

rankNND.hotdeck

Rank distance hot deck method.