# Simulation of Synthetic Populations for Survey Data Considering Auxiliary Information

## Documentation for package ‘simPop’ version 1.2.0

- DESCRIPTION file.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

simPop-package | Simulation of Synthetic Populations for Survey Data Considering Auxiliary Information
addKnownMargins | add known margins/totals
addWeights | Methods for function 'addWeights'
addWeights<- | Methods for function 'addWeights'
addWeights<--method | Methods for function 'addWeights'
calibPop | Calibration of 0/1 weights by Simulated Annealing
calibSample | Calibrate sample weights
calibSample-method | Calibrate sample weights
calibVars | Construct a matrix of binary variables for calibration
checkCol | Utility functions for EU-SILC data
chooseSILCvars | Utility functions for EU-SILC data
conditional.dis | Simple generation of new variables
contingencyWt | Weighted contingency coefficients
correctHeaps | Correct age heaping
correctSingleHeap | correctSingleHeap
corWt | Weighted mean, variance, covariance matrix and correlation matrix
covWt | Weighted mean, variance, covariance matrix and correlation matrix
dataObj-class | Class '"dataObj"'
eusilc13puf | Synthetic EU-SILC 2013 survey data
eusilcP | Synthetic EU-SILC data
eusilcS | Synthetic EU-SILC survey data
getBreaks | Compute break points for categorizing (semi-)continuous variables
getCat | Categorize (semi-)continuous variables
get_set-methods | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
ghanaS | Synthetic GLSS survey data
ipu | iterative proportional updating
ipu2 | Iterative Proportional Updating
kishFactor | Kish Factor
loadSILC | Utility functions for EU-SILC data
manageSimPopObj | get and set variables from population or sample data stored in an object of class 'simPopObj'.
meanWt | Weighted mean, variance, covariance matrix and correlation matrix
mergeSILC | Utility functions for EU-SILC data
modifySILC | Utility functions for EU-SILC data
pop | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
pop-method | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
pop<- | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
pop<--method | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
popData | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
popData-method | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
popObj | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
popObj-method | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
popObj<- | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
popObj<--method | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
quantileWt | Weighted sample quantiles
samp | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
samp-method | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
samp<- | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
samp<--method | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
sampHH | Sample households from given microdata.
sampleData | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
sampleData-method | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
sampleObj | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
sampleObj-method | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
sampleObj<- | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
sampleObj<--method | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
show-method | Class '"dataObj"'
show-method | Class '"simPopObj"'
silcTools2 | Utility functions for EU-SILC data
simCategorical | Simulate categorical variables of population data
simComponents | Simulate components of continuous variables of population data
simContinuous | Simulate continuous variables of population data
simEUSILC | Simulate EU-SILC population data
simInitSpatial | Generation of smaller regions given an existing spatial variable and a table.
simple_dis | Simple generation of new variables
simPop | Simulation of Synthetic Populations for Survey Data Considering Auxiliary Information
simPopObj-class | Class '"simPopObj"'
simRelation | Simulate categorical variables of population data
simStructure | Simulate the household structure of population data
spBwplotStats | Weighted box plot statistics
spCdf | (Weighted empirical) cumulative distribution function
specifyInput | create an object of class 'dataObj' required for further processing
spMosaic | Mosaic plots of expected and realized population sizes
sprague | Sprague index (multipliers)
spTable | Cross tabulations of expected and realized population sizes.
tableObj | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
tableObj-method | Extract and modify variables from population or sample data stored in an object of class 'simPopObj-class'.
tableWt | Weighted cross tabulation
totalsRG | Population totals Region times Gender for Austria 2006
totalsRGtab | Population totals Region times Gender for Austria 2006
univariate.dis | Simple generation of new variables
utility | Utility measures
utilityIndicator | Utility measures
utilityModal | Utility measures
varWt | Weighted mean, variance, covariance matrix and correlation matrix
weighted_estimators | Weighted mean, variance, covariance matrix and correlation matrix
whipple | Whipple index (original and modified)