Package: laeken 0.5.4

laeken: Estimation of Indicators on Social Exclusion and Poverty

Estimation of indicators on social exclusion and poverty, as well as Pareto tail modeling for empirical income distributions.

Authors:Andreas Alfons [aut, cre], Josef Holzer [aut], Matthias Templ [aut], Alexander Haider [ctb]

laeken_0.5.4.tar.gz
laeken_0.5.4.zip(r-4.7)laeken_0.5.4.zip(r-4.6)laeken_0.5.4.zip(r-4.5)
laeken_0.5.4.tgz(r-4.6-any)laeken_0.5.4.tgz(r-4.5-any)
laeken_0.5.4.tar.gz(r-4.7-any)laeken_0.5.4.tar.gz(r-4.6-any)
laeken_0.5.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
laeken/json (API)

# Install 'laeken' in R:
install.packages('laeken', repos = c('https://aalfons.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/aalfons/laeken/issues

Datasets:
  • eusilc - Synthetic EU-SILC survey data
  • ses - Synthetic SES survey data

On CRAN:

Conda:

9.85 score 3 stars 32 packages 461 scripts 13k downloads 44 exports 2 dependencies

Last updated from:b96407d7e2. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING114
source / vignettesOK174
linux-release-x86_64WARNING120
macos-release-arm64WARNING114
macos-oldrel-arm64WARNING114
windows-develWARNING97
windows-releaseWARNING85
windows-oldrelWARNING75
wasm-releaseOK108

Exports:arprarptbootVarcalibVarscalibWeightseqInceqSSfitParetoginigpgincMeanincMedianincQuintileis.arpris.giniis.gpgis.indicatoris.propis.qsris.rmpgmeanExcessPlotminAMSEparetoQPlotparetoScaleparetoTailpropqsrreplaceOutreplaceTailreweightOutrmpgshrinkOutthetaHillthetaISEthetaLSthetaMomentthetaPDCthetaQQthetaTMthetaWMLvarianceweightedMeanweightedMedianweightedQuantile

Dependencies:bootMASS

Estimation of Social Exclusion Indicators From Complex Surveys: The R Package laeken
Introduction | Data sets | Indicators | Basic design and core functionality | Robust estimation | Variance estimation | Conclusions
Rendered fromlaeken-intro.Rnwusingutils::Sweave

Last update: 2021-10-06
Started: 2014-08-19

Robust Pareto Tail Modeling for the Estimation of Indicators on Social Exclusion using the R Package laeken
Introduction | Social exclusion indicators | The Pareto distribution | Finding the threshold | Estimation of the shape parameter | Estimation of the indicators using Pareto tail modeling | Conclusions
Rendered fromlaeken-pareto.Rnwusingutils::Sweave

Last update: 2021-10-06
Started: 2014-08-19

Standard Methods for Point Estimation of Indicators on Social Exclusion and Poverty using the R Package laeken
Introduction | Basic design of the package | Calculation of the equivalized disposable income | Weighted median and quantile estimation | Indicators on social exclusion and poverty | Extracting information using the subset() method | Conclusions
Rendered fromlaeken-standard.Rnwusingutils::Sweave

Last update: 2021-10-06
Started: 2014-08-19

Variance Estimation of Indicators on Social Exclusion and Poverty using the R Package laeken
Introduction | General wrapper function for variance estimation | Naive bootstrap | Calibrated bootstrap | Conclusions
Rendered fromlaeken-variance.Rnwusingutils::Sweave

Last update: 2021-10-06
Started: 2014-08-19

Readme and manuals

Help Manual

Help pageTopics
Estimation of Indicators on Social Exclusion and Povertylaeken-package laeken
At-risk-of-poverty ratearpr
At-risk-of-poverty thresholdarpt
Bootstrap variance and confidence intervals of indicators on social exclusion and povertybootVar
Construct a matrix of binary variables for calibrationcalibVars
Calibrate sample weightscalibWeights
Equivalized disposable incomeeqInc
Equivalized household sizeeqSS
Synthetic EU-SILC survey dataeusilc
Fit income distribution models with the Pareto distributionfitPareto
Gini coefficientgini
Gender pay (wage) gap.gpg
Weighted mean incomeincMean
Weighted median incomeincMedian
Weighted income quintileincQuintile
Mean excess plotmeanExcessPlot
Weighted asymptotic mean squared error (AMSE) estimatorminAMSE print.minAMSE
Pareto quantile plotparetoQPlot
Estimate the scale parameter of a Pareto distributionparetoScale print.paretoScale
Pareto tail modeling for income distributionsparetoTail print.paretoTail
Diagnostic plot for the Pareto tail modelplot.paretoTail
Proportion of an alternative distributionprop
Quintile share ratioqsr
Replace observations under a Pareto modelreplaceOut replaceTail replaceTail.paretoTail
Reweight outliers in the Pareto modelreweightOut reweightOut.paretoTail
Relative median at-risk-of-poverty gaprmpg
Synthetic SES survey datases
Shrink outliers in the Pareto modelshrinkOut shrinkOut.paretoTail
Hill estimatorthetaHill
Integrated squared error (ISE) estimatorthetaISE
Least squares (LS) estimatorthetaLS
Moment estimatorthetaMoment
Partial density component (PDC) estimatorthetaPDC
QQ-estimatorthetaQQ
Trimmed mean estimatorthetaTM
Weighted maximum likelihood estimatorthetaWML
Utility functions for indicators on social exclusion and povertyis.arpr is.gini is.gpg is.indicator is.prop is.qsr is.rmpg print.arpr print.indicator print.rmpg subset.arpr subset.indicator subset.rmpg utils
Variance and confidence intervals of indicators on social exclusion and povertyvariance
Weighted meanweightedMean
Weighted medianweightedMedian
Weighted quantilesweightedQuantile