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StatMatch (version 1.2.4)

Statistical Matching

Description

Integration of two data sources referred to the same target population which share a number of common variables (aka data fusion). 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

1.2.4

License

GPL (>= 2)

Maintainer

Marcello D'Orazio

Last Published

January 13th, 2016

Functions in StatMatch (1.2.4)

comb.samples

Statistical Matching of data from complex sample surveys
StatMatch-package

Statistical Matching or Data Fusion
Frechet.bounds.cat

Frechet bounds of cells in a contingency table
pBayes

Pseudo-Bayes estimates of cell probabilities
create.fused

Creates a matched (synthetic) dataset
comp.prop

Compares two distributions of categorical variables
NND.hotdeck

Distance Hot Deck method.
fact2dummy

Transforms a categorical variable in a set of dummy variables
samp.C

Artificial data set resembling EU--SILC survey
harmonize.x

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

Random Distance hot deck.
mahalanobis.dist

Computes the Mahalanobis Distance
maximum.dist

Computes the Maximum Distance
pw.assoc

Pairwise association measure between categorical variables
samp.B

Artificial data set resembling EU--SILC survey
samp.A

Artificial data set resembling EU--SILC survey
mixed.mtc

Statistical Matching via Mixed Methods
Fbwidths.by.x

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

Rank distance hot deck method.
gower.dist

Computes the Gower's Distance