R: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control

# Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control

## Documentation for package ‘synthpop’ version 1.9-2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

synthpop-package | Generating synthetic versions of sensitive microdata for statistical disclosure control
codebook.syn | Makes a codebook from a data frame
compare | Comparison of synthesised and observed data
compare.data.frame | Compare univariate distributions of synthesised and observed data
compare.fit.synds | Compare model estimates based on synthesised and observed data
compare.list | Compare univariate distributions of synthesised and observed data
compare.synds | Compare univariate distributions of synthesised and observed data
disclosure | Disclosure measures
disclosure.data.frame | Disclosure measures
disclosure.list | Disclosure measures
disclosure.synds | Disclosure measures
glm.synds | Fitting (generalized) linear models to synthetic data
lm.synds | Fitting (generalized) linear models to synthetic data
mergelevels.syn | Merge levels of factors in a data frame
multi.compare | Multivariate comparison of synthesised and observed data
multi.disclosure | Disclosure measures for multiple of target variables.
multi.disclosure.data.frame | Disclosure measures for multiple of target variables.
multi.disclosure.list | Disclosure measures for multiple of target variables.
multi.disclosure.synds | Disclosure measures for multiple of target variables.
multinom.synds | Fitting multinomial models to synthetic data
numtocat.syn | Group numeric variables before synthesis
polr.synds | Fitting ordered logistic models to synthetic data
print.compare.fit.synds | Compare model estimates based on synthesised and observed data
print.compare.synds | Compare univariate distributions of synthesised and observed data
print.disclosure | Disclosure measures
print.fit.synds | Fitting (generalized) linear models to synthetic data
print.multi.disclosure | Disclosure measures for multiple of target variables.
print.repuniq.synds | Replications in synthetic data
print.summary.fit.synds | Inference from synthetic data
print.summary.synds | Synthetic data object summaries
print.synds | Generating synthetic data sets
print.utility.gen | Distributional comparison of synthesised and observed data
print.utility.tab | Tabular utility
print.utility.tables | Tables and plots of utility measures
read.obs | Importing original data sets form external files
replicated.uniques | Replications in synthetic data
SD2011 | Social Diagnosis 2011 - Objective and Subjective Quality of Life in Poland
sdc | Tools for statistical disclosure control (sdc)
summary.fit.synds | Inference from synthetic data
summary.synds | Synthetic data object summaries
syn | Generating synthetic data sets
syn.bag | Synthesis with bagging
syn.cart | Synthesis with classification and regression trees (CART)
syn.catall | Synthesis of a group of categorical variables from a saturated model
syn.ctree | Synthesis with classification and regression trees (CART)
syn.cubertnorm | Synthesis by linear regression after transformation of a dependent variable
syn.ipf | Synthesis of a group of categorical variables by iterative proportional fitting
syn.lognorm | Synthesis by linear regression after transformation of a dependent variable
syn.logreg | Synthesis by logistic regression
syn.nested | Synthesis for a variable nested within another variable.
syn.norm | Synthesis by linear regression
syn.normrank | Synthesis by normal linear regression preserving the marginal distribution
syn.passive | Passive synthesis
syn.pmm | Synthesis by predictive mean matching
syn.polr | Synthesis by ordered polytomous regression
syn.polyreg | Synthesis by unordered polytomous regression
syn.ranger | Synthesis with a fast implementation of random forests
syn.rf | Synthesis with random forest
syn.sample | Synthesis by simple random sampling
syn.satcat | Synthesis from a saturated model based on all combinations of the predictor variables.
syn.smooth | syn.smooth
syn.sqrtnorm | Synthesis by linear regression after transformation of a dependent variable
syn.strata | Generating synthetic data sets
syn.survctree | Synthesis of survival time by classification and regression trees (CART)
synorig.compare | check synthetic and original if not produced by synthpop.
synorig.compare.list | check synthetic and original if not produced by synthpop.
synthpop | Generating synthetic versions of sensitive microdata for statistical disclosure control
utility.gen | Distributional comparison of synthesised and observed data
utility.gen.data.frame | Distributional comparison of synthesised and observed data
utility.gen.list | Distributional comparison of synthesised and observed data
utility.gen.synds | Distributional comparison of synthesised and observed data
utility.tab | Tabular utility
utility.tab.data.frame | Tabular utility
utility.tab.list | Tabular utility
utility.tab.synds | Tabular utility
utility.tables | Tables and plots of utility measures
utility.tables.data.frame | Tables and plots of utility measures
utility.tables.list | Tables and plots of utility measures
utility.tables.synds | Tables and plots of utility measures
write.syn | Exporting synthetic data sets to external files