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simPop

This is the development place for R-package simPop

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install.packages('simPop')

Monthly Downloads

385

Version

2.1.2

License

GPL (>= 2)

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Maintainer

Matthias Templ

Last Published

November 7th, 2022

Functions in simPop (2.1.2)

eusilcS

Synthetic EU-SILC survey data
getCat

Categorize (semi-)continuous variables
ghanaS

Synthetic GLSS survey data
eusilc13puf

Synthetic EU-SILC 2013 survey data
manageSimPopObj

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

Synthetic EU-SILC data
get_set-methods

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

iterative proportional updating
quantileWt

Weighted sample quantiles
simPop-package

Simulation of Synthetic Populations for Survey Data Considering Auxiliary Information
simPopObj-class

Class "simPopObj"
getBreaks

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

Utility functions for socio-economic data sets
simEUSILC

Simulate EU-SILC population data
simInitSpatial

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

Sample households from given microdata.
simContinuous

Simulate continuous variables of population data
silcTools2

Utility functions for EU-SILC data
simComponents

Simulate components of continuous variables of population data
simCategorical

Simulate categorical variables 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
spTable

Cross tabulations of expected and realized population sizes.
sprague

Sprague index (multipliers)
tableWt

Weighted cross tabulation
spMosaic

Mosaic plots of expected and realized population sizes
spCdfplot

Plot weighted cumulative distribution functions
simRelation

Simulate categorical variables of population data
whipple

Whipple index (original and modified)
weighted_estimators

Weighted mean, variance, covariance matrix and correlation matrix
simple_dis

Simple generation of new variables
utility

Utility measures
totalsRG

Population totals Region times Gender for Austria 2006
simStructure

Simulate the household structure of population data
spBwplot

Weighted box plots
calibVars

Construct a matrix of binary variables for calibration
correctSingleHeap

correctSingleHeap
correctHeaps

Correct age heaping
addWeights<-

Methods for function addWeights
dataObj-class

Class "dataObj"
calibPop

Calibration of 0/1 weights by Simulated Annealing
contingencyWt

Weighted contingency coefficients
crossValidation

Simulate variables of population data by cross validation
addKnownMargins

add known margins/totals
calibSample

Calibrate sample weights