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simPop

This is the development place for R-package simPop

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install.packages('simPop')

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452

Version

2.1.3

License

GPL (>= 2)

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Last Published

January 8th, 2024

Functions in simPop (2.1.3)

get_set-methods

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

Synthetic EU-SILC data
simPopObj-class

Class "simPopObj"
silcTools2

Utility functions for EU-SILC data
simCategorical

Simulate categorical variables of population data
silcTools

Utility functions for socio-economic data sets
simEUSILC

Simulate EU-SILC population data
simPop-package

Simulation of Synthetic Populations for Survey Data Considering Auxiliary Information
sampHH

Sample households from given microdata.
simInitSpatial

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

Simulate continuous variables of population data
simComponents

Simulate components of continuous variables of population data
spTable

Cross tabulations of expected and realized population sizes.
simple_dis

Simple generation of new variables
simStructure

Simulate the household structure of population data
spBwplotStats

Weighted box plot statistics
simRelation

Simulate categorical variables of population data
specifyInput

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

Mosaic plots of expected and realized population sizes
spCdfplot

Plot weighted cumulative distribution functions
spCdf

(Weighted empirical) cumulative distribution function
whipple

Whipple index (original and modified)
spBwplot

Weighted box plots
weighted_estimators

Weighted mean, variance, covariance matrix and correlation matrix
totalsRG

Population totals Region times Gender for Austria 2006
sprague

Sprague index (multipliers)
tableWt

Weighted cross tabulation
utility

Utility measures
correctHeaps

Correct age heaping
calibPop

Calibration of 0/1 weights by Simulated Annealing
correctSingleHeap

correctSingleHeap
addWeights<-

Methods for function addWeights
crossValidation

Simulate variables of population data by cross validation
calibVars

Construct a matrix of binary variables for calibration
dataObj-class

Class "dataObj"
addKnownMargins

add known margins/totals
contingencyWt

Weighted contingency coefficients
calibSample

Calibrate sample weights
quantileWt

Weighted sample quantiles
ghanaS

Synthetic GLSS survey data
manageSimPopObj

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

iterative proportional updating
getCat

Categorize (semi-)continuous variables
eusilc13puf

Synthetic EU-SILC 2013 survey data
getBreaks

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

Synthetic EU-SILC survey data