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simPop (version 0.6.0)

Simulation of Synthetic Populations for Survey Data Considering Auxiliary Information

Description

Tools and methods to simulate populations for surveys based on auxiliary data. The tools include model-based methods, calibration and combinatorial optimization algorithms. The package was developed with support of the International Household Survey Network, DFID Trust Fund TF011722 and funds from the World bank.

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Version

Install

install.packages('simPop')

Monthly Downloads

456

Version

0.6.0

License

GPL (>= 2)

Maintainer

Matthias Templ

Last Published

January 23rd, 2017

Functions in simPop (0.6.0)

calibVars

Construct a matrix of binary variables for calibration
contingencyWt

Weighted contingency coefficients
addWeights<-

Methods for function addWeights
correctHeaps

Correct age heaping
get_set-methods

Extract and modify variables from population or sample data stored in an object of class simPopObj-class.
calibSample

Calibrate sample weights
addKnownMargins

add known margins/totals
calibPop

Calibration of 0/1 weights by Simulated Annealing
dataObj-class

Class "dataObj"
correctSingleHeap

correctSingleHeap
ipu2

Iterative Proportional Updating
ipu

iterative proportional updating
silcTools

Utility functions for socio-economic data sets
silcTools2

Utility functions for EU-SILC data
getCat

Categorize (semi-)continuous variables
getBreaks

Compute break points for categorizing (semi-)continuous variables
kishFactor

Kish Factor
quantileWt

Weighted sample quantiles
manageSimPopObj

get and set variables from population or sample data stored in an object of class '>simPopObj.
sampHH

Sample households from given microdata.
spBwplot

Weighted box plots
simStructure

Simulate the household structure of population data
simComponents

Simulate components of continuous variables of population data
simPopObj-class

Class "simPopObj"
simContinuous

Simulate continuous variables of population data
simple_dis

Simple generation of new variables
simInitSpatial

Generation of smaller regions given an existing spatial variable and a table.
simRelation

Simulate categorical variables of population data
simCategorical

Simulate categorical variables of population data
simEUSILC

Simulate EU-SILC population data
spCdf

(Weighted empirical) cumulative distribution function
tableWt

Weighted cross tabulation
specifyInput

create an object of class 'dataObj' required for further processing
weighted_estimators

Weighted mean, variance, covariance matrix and correlation matrix
spMosaic

Mosaic plots of expected and realized population sizes
sprague

Sprague index (multipliers)
spBwplotStats

Weighted box plot statistics
spTable

Cross tabulations of expected and realized population sizes.
spCdfplot

Plot weighted cumulative distribution functions
utility

Utility measures
whipple

Whipple index (original and modified)
eusilc13puf

Synthetic EU-SILC 2013 survey data
addWeights<-

Methods for function addWeights
eusilcP

Synthetic EU-SILC data
eusilcS

Synthetic EU-SILC survey data
ghanaS

Synthetic GLSS survey data
totalsRG

Population totals Region times Gender for Austria 2006