simPop package - RDocumentation

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simPop

This is the development place for R-package simPop

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Install

install.packages('simPop')

Monthly Downloads

320

Version

1.2.0

License

GPL (>= 2)

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Repository

https://github.com/statistikat/simPop

Maintainer

Matthias Templ

Last Published

July 18th, 2019

Functions in simPop (1.2.0)

Construct a matrix of binary variables for calibration

Class "dataObj"

Correct age heaping

addKnownMargins

add known margins/totals

Synthetic EU-SILC 2013 survey data

Calibration of 0/1 weights by Simulated Annealing

Weighted contingency coefficients

correctSingleHeap

correctSingleHeap

Methods for function addWeights

Calibrate sample weights

iterative proportional updating

Synthetic GLSS survey data

get_set-methods

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

Compute break points for categorizing (semi-)continuous variables

Categorize (semi-)continuous variables

Synthetic EU-SILC survey data

Synthetic EU-SILC data

Simulate categorical variables of population data

Simulate components of continuous variables of population data

Weighted sample quantiles

Iterative Proportional Updating

Sample households from given microdata.

Mosaic plots of expected and realized population sizes

Utility functions for EU-SILC data

Plot weighted cumulative distribution functions

(Weighted empirical) cumulative distribution function

Utility functions for socio-economic data sets

simPopObj-class

Class "simPopObj"

Utility measures

weighted_estimators

Weighted mean, variance, covariance matrix and correlation matrix

Simulate categorical variables of population data

Simple generation of new variables

Simulate the household structure of population data

Simulate EU-SILC population data

Simulate continuous variables of population data

Weighted box plots

Weighted box plot statistics

manageSimPopObj

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

Population totals Region times Gender for Austria 2006

Weighted cross tabulation

Whipple index (original and modified)

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

Simulation of Synthetic Populations for Survey Data Considering Auxiliary Information

Cross tabulations of expected and realized population sizes.

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

Sprague index (multipliers)