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StatMatch (version 1.0.5)

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

1.0.5

License

EUPL

Maintainer

Marcello D'Orazio

Last Published

April 4th, 2012

Functions in StatMatch (1.0.5)

gower.dist

Computes the Gower's Distance
mixed.mtc

Statistical Matching via Mixed Methods
Frechet.bounds.cat

Frechet bounds of cells in a contingency table
comb.samples

Statistical Matching of data from complex sample surveys
mahalanobis.dist

Computes the Mahalanobis Distance
rankNND.hotdeck

Rank distance hot deck method.
RANDwNND.hotdeck

Random Distance hot deck.
create.fused

Creates a matched (synthetic) dataset
Fbwidths.by.x

Computes the Frechet bounds of cells in a contingency table by considering all the possible subsets of the common variables.
fact2dummy

Transforms a categorical variable in a set of dummy variables
harmonize.x

Harmonizes the marginal (joint) distribution of a set of variables observed independently in two sample surveys on the same target population
StatMatch-package

Statistical Matching
maximum.dist

Computes the Maximum Distance
NND.hotdeck

Distance Hot Deck method.