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simPop (version 0.3.0)

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

406

Version

0.3.0

License

GPL (>= 2)

Maintainer

Matthias Templ

Last Published

February 20th, 2016

Functions in simPop (0.3.0)

Simulate components of continuous variables of population data

Weighted box plots

manageSimPopObj

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

Sprague index (multipliers)

Simulate continuous variables of population data

Compute break points for categorizing (semi-)continuous variables

Simulate categorical variables of population data

Simulate categorical variables of population data

simPopObj-class

Class "simPopObj"

Utility functions for socio-economic data sets

Calibrate sample weights

Synthetic EU-SILC survey data

Utility measures

Synthetic EU-SILC data

Categorize (semi-)continuous variables

Sample households from given microdata.

Whipple index (original and modified)

(Weighted empirical) cumulative distribution function

Class "dataObj"

Cross tabulations of expected and realized population sizes.

Synthetic GLSS survey data

Weighted box plot statistics

Population totals Region times Gender for Austria 2006

addKnownMargins

add known margins/totals

Mosaic plots of expected and realized population sizes

Utility functions for EU-SILC data

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

Methods for function addWeights

Construct a matrix of binary variables for calibration

Weighted sample quantiles

weighted_estimators

Weighted mean, variance, covariance matrix and correlation matrix

Plot weighted cumulative distribution functions

Weighted contingency coefficients

get_set-methods

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

Simple generation of new variables

Synthetic EU-SILC 2013 survey data

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

Weighted cross tabulation

Simulate the household structure of population data

Calibration of 0/1 weights by Simulated Annealing

Simulate EU-SILC population data

iterative proportional updating