raster, maptools, rgdal, cubature, testthat

spatstat (>= 2.0-0), spatstat.geom, spatstat.linnet,
spatstat.core

spatstat (>= 2.0-0), spatstat.core (>= 2.3-0), spatstat.geom,
spatstat.linnet
cubature, maptools, raster, rgdal, testthat

RcppRoll, spatstat.core (>= 2.3-0), spatstat.geom,
spatstat.random

RcppRoll, spatstat.explore (>= 3.0-3), spatstat.geom,
spatstat.random

Laeken indicators for measuring social cohesion
Andreas Alfons, Josef Holzer and Matthias Templ
Calculate Laeken indicators for measuring social cohesion
and apply Pareto tail modeling to empirical income
distributions (including graphical tools).

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 (including graphical tools).

Estimation of indicators on social exclusion and poverty
and Pareto tail modeling for empirical income distributions
(including graphical tools).

Estimation of indicators on social exclusion and poverty,
as well as Pareto tail modeling for empirical income
distributions.
'arpr.R' 'arpt.R' 'bootVar.R' 'calibVars.R' 'calibWeights.R'
'eqInc.R' 'eqSS.R' 'fitPareto.R' 'gini.R' 'gpg.R' 'incMean.R'
'incMedian.R' 'incQuintile.R' 'meanExcessPlot.R' 'minAMSE.R'
'paretoQPlot.R' 'paretoScale.R' 'paretoTail.R' 'plot.R' 'qsr.R'
'rmpg.R' 'thetaHill.R' 'thetaISE.R' 'thetaLS.R' 'thetaMoment.R'
'thetaPDC.R' 'thetaQQ.R' 'thetaTM.R' 'thetaWML.R' 'utils.R'
'variance.R' 'weightedMean.R' 'weightedMedian.R'
'weightedQuantile.R'

c(person("Andreas", "Alfons", email =
"andreas.alfons@kuleuven.be", role = c("aut", "cre")),
person("Josef", "Holzer", role = "aut"), person("Matthias",
"Templ", role = "aut"))
Andreas Alfons [aut, cre], Josef Holzer [aut], Matthias Templ
[aut]

c(person("Andreas", "Alfons", email = "alfons@ese.eur.nl",
role = c("aut", "cre")), person("Josef", "Holzer", role =
"aut"), person("Matthias", "Templ", role = "aut"))

Estimation of indicators on social exclusion and poverty, as well
as Pareto tail modeling for empirical income distributions.
c(person("Andreas", "Alfons", email = "alfons@ese.eur.nl",
role = c("aut", "cre")), person("Josef", "Holzer", role = "aut"),
person("Matthias", "Templ", role = "aut"))
Andreas Alfons [aut, cre],
Josef Holzer [aut],
Matthias Templ [aut]