R: Estimation of indicators on social exclusion and poverty
laeken-package
R Documentation
Estimation of indicators on social exclusion and poverty
Description
Estimation of indicators on social exclusion and poverty, as well
as Pareto tail modeling for empirical income distributions.
Details
Package:
laeken
Type:
Package
Version:
0.4.6
Date:
2014-08-19
Depends:
R (>= 2.10.0), boot, MASS
License:
GPL (>= 2)
Index:
arpr At-risk-of-poverty rate
arpt At-risk-of-poverty threshold
bootVar Bootstrap variance and confidence intervals of
indicators on social exclusion and poverty
calibVars Construct a matrix of binary variables for
calibration
calibWeights Calibrate sample weights
eqInc Equivalized disposable income
eqSS Equivalized household size
eusilc Synthetic EU-SILC survey data
fitPareto Fit income distribution models with the Pareto
distribution
gini Gini coefficient
gpg Gender pay (wage) gap.
incMean Weighted mean income
incMedian Weighted median income
incQuintile Weighted income quintile
laeken-package Estimation of indicators on social exclusion
and poverty
meanExcessPlot Mean excess plot
minAMSE Weighted asymptotic mean squared error (AMSE)
estimator
paretoQPlot Pareto quantile plot
paretoScale Estimate the scale parameter of a Pareto
distribution
paretoTail Pareto tail modeling for income distributions
plot.paretoTail Diagnostic plot for the Pareto tail model
prop Proportion of an alternative distribution
qsr Quintile share ratio
replaceTail Replace observations under a Pareto model
reweightOut Reweight outliers in the Pareto model
rmpg Relative median at-risk-of-poverty gap
ses Synthetic SES survey data
shrinkOut Shrink outliers in the Pareto model
thetaHill Hill estimator
thetaISE Integrated squared error (ISE) estimator
thetaLS Least squares (LS) estimator
thetaMoment Moment estimator
thetaPDC Partial density component (PDC) estimator
thetaQQ QQ-estimator
thetaTM Trimmed mean estimator
thetaWML Weighted maximum likelihood estimator
utils Utility functions for indicators on social
exclusion and poverty
variance Variance and confidence intervals of indicators
on social exclusion and poverty
weightedMean Weighted mean
weightedMedian Weighted median
weightedQuantile Weighted quantiles
Further information is available in the following vignettes:
laeken-intro
Estimation of Social Exclusion Indicators From Complex Surveys: The R Package laeken (source, pdf)
laeken-pareto
Robust Pareto Tail Modeling for the Estimation of Indicators on Social Exclusion using the R Package laeken (source, pdf)
laeken-standard
Standard Methods for Point Estimation of Indicators on Social Exclusion and Poverty using the R Package laeken (source, pdf)
laeken-variance
Variance Estimation of Indicators on Social Exclusion and Poverty using the R Package laeken (source, pdf)
Author(s)
Andreas Alfons [aut, cre],
Josef Holzer [aut],
Matthias Templ [aut]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
References
A. Alfons and M. Templ (2013) Estimation of Social Exclusion Indicators from
Complex Surveys: The R Package laeken. Journal of Statistical
Software, 54(15), 1–25. URL http://www.jstatsoft.org/v54/i15/
A. Alfons, M. Templ, P. Filzmoser (2013) Robust estimation of economic
indicators from survey samples based on Pareto tail modeling. Journal of
the Royal Statistical Society, Series C, 62(2), 271–286.