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StatMatch (version 1.4.1)

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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Install

install.packages('StatMatch')

Monthly Downloads

1,509

Version

1.4.1

License

GPL (>= 2)

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Repository

https://github.com/marcellodo/StatMatch

Homepage

https://github.com/marcellodo/StatMatch/tree/master/Tutorials_Vignette_OtherDocs

Maintainer

Marcello D'Orazio

Last Published

March 1st, 2022

Functions in StatMatch (1.4.1)

StatMatch-package

Statistical Matching or Data Fusion

RANDwNND.hotdeck

Random Distance hot deck.

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

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

Compares two distributions of the same categorical variable

Statistical Matching of data from complex sample surveys

Distance Hot Deck method.

Frechet.bounds.cat

Frechet bounds of cells in a contingency table

Graphical comparison of the estimated distributions for the same categorical variable.

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

Creates a matched (synthetic) dataset

Transforms a categorical variable in a set of dummy variables

Artificial data set resembling EU--SILC survey

Empirical comparison of two estimated distributions of the same continuous variable

Computes the Gower's Distance

rankNND.hotdeck

Rank distance hot deck method.

mahalanobis.dist

Computes the Mahalanobis Distance

Pairwise measures between categorical variables

Computes the Maximum Distance

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

Artificial data set resembling EU--SILC survey

Statistical Matching via Mixed Methods

Pseudo-Bayes estimates of cell probabilities

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

Artificial data set resembling EU--SILC survey