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StatMatch (version 1.1.0)

Statistical Matching

Description

The package StatMatch provides some R functions to perform statistical matching, 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

1.1.0

License

EUPL

Maintainer

Marcello D'Orazio

Last Published

July 27th, 2012

Functions in StatMatch (1.1.0)

fact2dummy

Transforms a categorical variable in a set of dummy variables
mixed.mtc

Statistical Matching via Mixed Methods
mahalanobis.dist

Computes the Mahalanobis Distance
comb.samples

Statistical Matching of data from complex sample surveys
harmonize.x

Harmonizes the marginal (joint) distribution of a set of variables observed independently in two sample surveys on the same target population
rankNND.hotdeck

Rank distance hot deck method.
maximum.dist

Computes the Maximum Distance
gower.dist

Computes the Gower's Distance
Fbwidths.by.x

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

Statistical Matching
RANDwNND.hotdeck

Random Distance hot deck.
Frechet.bounds.cat

Frechet bounds of cells in a contingency table
create.fused

Creates a matched (synthetic) dataset
NND.hotdeck

Distance Hot Deck method.