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StatMatch (version 1.4.0)

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

1,509

Version

1.4.0

License

GPL (>= 2)

Maintainer

Marcello D'Orazio

Last Published

July 16th, 2020

Functions in StatMatch (1.4.0)

comb.samples

Statistical Matching of data from complex sample surveys
NND.hotdeck

Distance Hot Deck method.
create.fused

Creates a matched (synthetic) dataset
fact2dummy

Transforms a categorical variable in a set of dummy variables
Frechet.bounds.cat

Frechet bounds of cells in a contingency table
Fbwidths.by.x

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

Compares two distributions of the same categorical variable
mahalanobis.dist

Computes the Mahalanobis Distance
rankNND.hotdeck

Rank distance hot deck method.
maximum.dist

Computes the Maximum Distance
samp.A

Artificial data set resembling EU--SILC survey
StatMatch-package

Statistical Matching or Data Fusion
selMtc.by.unc

Identifies the best combination if matching variables in reducing uncertainty in estimation the contingency table Y vs. Z.
mixed.mtc

Statistical Matching via Mixed Methods
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.
pBayes

Pseudo-Bayes estimates of cell probabilities
gower.dist

Computes the Gower's Distance
pw.assoc

Pairwise measures between categorical variables
plotTab

graphical comparison of the estimated distributions for the same continuous variable.
plotBounds

Graphical representation of the uncertainty bounds estimated through the Frechet.bounds.cat function
plotCont

graphical comparison of the estimated distributions for the same continuous variable.
samp.C

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

Artificial data set resembling EU--SILC survey