StatMatch: Statistical Matching
Version 1.2.5

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.

AuthorMarcello D'Orazio
Date of publication2017-01-09 17:11:42
MaintainerMarcello D'Orazio <mdo.statmatch@gmail.com>
LicenseGPL (>= 2)
Version1.2.5
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("StatMatch")

Getting started

Package overview

Popular man pages

comb.samples: Statistical Matching of data from complex sample surveys
gower.dist: Computes the Gower's Distance
NND.hotdeck: Distance Hot Deck method.
pw.assoc: Pairwise association measure between categorical variables
rankNND.hotdeck: Rank distance hot deck method.
samp.C: Artificial data set resembling EU-SILC survey
StatMatch-package: Statistical Matching or Data Fusion
See all...

All man pages Function index File listing

Man pages

comb.samples: Statistical Matching of data from complex sample surveys
comp.prop: Compares two distributions of categorical variables
create.fused: Creates a matched (synthetic) dataset
fact2dummy: Transforms a categorical variable in a set of dummy variables
Fbwidths.by.x: Computes the Frechet bounds of cells in a contingency table...
Frechet.bounds.cat: Frechet bounds of cells in a contingency table
gower.dist: Computes the Gower's Distance
harmonize.x: Harmonizes the marginal (joint) distribution of a set of...
mahalanobis.dist: Computes the Mahalanobis Distance
maximum.dist: Computes the Maximum Distance
mixed.mtc: Statistical Matching via Mixed Methods
NND.hotdeck: Distance Hot Deck method.
pBayes: Pseudo-Bayes estimates of cell probabilities
pw.assoc: Pairwise association measure between categorical variables
RANDwNND.hotdeck: Random Distance hot deck.
rankNND.hotdeck: Rank distance hot deck method.
samp.A: Artificial data set resembling EU-SILC survey
samp.B: Artificial data set resembling EU-SILC survey
samp.C: Artificial data set resembling EU-SILC survey
StatMatch-package: Statistical Matching or Data Fusion

Functions

Fbwidths.by.x Man page Source code
Frechet.bounds.cat Man page
NND.hotdeck Man page Source code
RANDwNND.hotdeck Man page
StatMatch Man page
StatMatch-package Man page
comb.samples Man page Source code
comp.prop Man page Source code
create.fused Man page
fact2dummy Man page
gower.dist Man page Source code
harmonize.x Man page
mahalanobis.dist Man page Source code
maximum.dist Man page Source code
mixed.mtc Man page
pBayes Man page Source code
pw.assoc Man page
rankNND.hotdeck Man page
samp.A Man page
samp.B Man page
samp.C Man page

Files

inst
inst/doc
inst/doc/Statistical_Matching_with_StatMatch.pdf
inst/doc/Statistical_Matching_with_StatMatch.R
inst/doc/Statistical_Matching_with_StatMatch.Rnw
NAMESPACE
NEWS
data
data/samp.C.rda
data/samp.A.rda
data/samp.B.rda
R
R/pw.assoc.R
R/RANDwNND.hotdeck.R
R/create.fused.R
R/comb.samples.R
R/Fbwidths.by.x.R
R/mahalanobis.dist.R
R/NND.hotdeck.R
R/mixed.mtc.R
R/comp.prop.R
R/Frechet.bounds.cat.R
R/gower.dist.R
R/pBayes.R
R/harmonize.x.R
R/maximum.dist.R
R/rankNND_hotdeck.R
R/fact2dummy.R
vignettes
vignettes/Statistical_Matching_with_StatMatch.Rnw
MD5
build
build/vignette.rds
DESCRIPTION
man
man/create.fused.Rd
man/RANDwNND.hotdeck.Rd
man/StatMatch-package.Rd
man/maximum.dist.Rd
man/pBayes.Rd
man/samp.C.Rd
man/pw.assoc.Rd
man/Frechet.bounds.cat.Rd
man/mahalanobis.dist.Rd
man/NND.hotdeck.Rd
man/mixed.mtc.Rd
man/fact2dummy.Rd
man/comb.samples.Rd
man/comp.prop.Rd
man/rankNND.hotdeck.Rd
man/Fbwidths.by.x.Rd
man/samp.B.Rd
man/gower.dist.Rd
man/samp.A.Rd
man/harmonize.x.Rd
StatMatch documentation built on May 19, 2017, 8:56 p.m.