Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control


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Documentation for package ‘synthpop’ version 1.8-0

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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
glm.synds Fitting (generalized) linear models to synthetic data
lm.synds Fitting (generalized) linear models to synthetic data
multi.compare Multivariate comparison of synthesised and observed data
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.fit.synds Fitting (generalized) linear models to 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)
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