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laeken (version 0.4.3)
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.
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Install
install.packages('laeken')
Monthly Downloads
14,314
Version
0.4.3
License
GPL (>= 2)
Maintainer
Andreas Alfons
Last Published
March 7th, 2013
Functions in laeken (0.4.3)
Search functions
eqInc
Equivalized disposable income
paretoScale
Estimate the scale parameter of a Pareto distribution
incMedian
Weighted median income
plot.paretoTail
Diagnostic plot for the Pareto tail model
gini
Gini coefficient
thetaMoment
Moment estimator
thetaISE
Integrated squared error (ISE) estimator
incQuintile
Weighted income quintile
calibWeights
Calibrate sample weights
arpr
At-risk-of-poverty rate
eqSS
Equivalized household size
thetaPDC
Partial density component (PDC) estimator
laeken-package
Estimation of indicators on social exclusion and poverty
weightedMedian
Weighted median
qsr
Quintile share ratio
ses
Synthetic SES survey data
thetaWML
Weighted maximum likelihood estimator
thetaHill
Hill estimator
utils
Utility functions for indicators on social exclusion and poverty
bootVar
Bootstrap variance and confidence intervals of indicators on social exclusion and poverty
minAMSE
Weighted asymptotic mean squared error (AMSE) estimator
paretoQPlot
Pareto quantile plot
shrinkOut
Shrink outliers in the Pareto model
thetaTM
Trimmed mean estimator
thetaQQ
QQ-estimator
arpt
At-risk-of-poverty threshold
weightedQuantile
Weighted quantiles
fitPareto
Fit income distribution models with the Pareto distribution
weightedMean
Weighted mean
reweightOut
Reweight outliers in the Pareto model
calibVars
Construct a matrix of binary variables for calibration
rmpg
Relative median at-risk-of-poverty gap
variance
Variance and confidence intervals of indicators on social exclusion and poverty
incMean
Weighted mean income
eusilc
Synthetic EU-SILC survey data
meanExcessPlot
Mean excess plot
paretoTail
Pareto tail modeling for income distributions
gpg
Gender pay (wage) gap.
replaceTail
Replace observations under a Pareto model
thetaLS
Least squares (LS) estimator