laeken-package {laeken} | 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
The DESCRIPTION file:
Package: | laeken |
Type: | Package |
Title: | Estimation of Indicators on Social Exclusion and Poverty |
Version: | 0.5.3 |
Date: | 2024-01-25 |
Depends: | R (>= 3.2.0) |
Imports: | boot, MASS |
Description: | Estimation of indicators on social exclusion and poverty, as well as Pareto tail modeling for empirical income distributions. |
License: | GPL (>= 2) |
Authors@R: | c(person("Andreas", "Alfons", email = "alfons@ese.eur.nl", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2513-3788")), person("Josef", "Holzer", role = "aut"), person("Matthias", "Templ", role = "aut"), person("Alexander", "Haider", role = "ctb")) |
Author: | Andreas Alfons [aut, cre] (<https://orcid.org/0000-0002-2513-3788>), Josef Holzer [aut], Matthias Templ [aut], Alexander Haider [ctb] |
Maintainer: | Andreas Alfons <alfons@ese.eur.nl> |
Encoding: | UTF-8 |
RoxygenNote: | 7.2.3 |
Index of help topics:
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
Author(s)
Andreas Alfons [aut, cre] (<https://orcid.org/0000-0002-2513-3788>), Josef Holzer [aut], Matthias Templ [aut], Alexander Haider [ctb]
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. doi:10.18637/jss.v054.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.