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Source: r-cran-kernelheaping
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders: Andreas Tille <tille@debian.org>
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-r,
r-base-dev,
r-cran-mass,
r-cran-ks,
r-cran-sparr,
r-cran-sp,
r-cran-plyr,
r-cran-dplyr,
r-cran-fastmatch,
r-cran-fitdistrplus,
r-cran-gb2,
r-cran-magrittr,
r-cran-mvtnorm
Standards-Version: 4.6.0
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-kernelheaping
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-kernelheaping.git
Homepage: https://cran.r-project.org/package=Kernelheaping
Rules-Requires-Root: no
Package: r-cran-kernelheaping
Architecture: all
Depends: ${R:Depends},
${misc:Depends}
Recommends: ${R:Recommends}
Suggests: ${R:Suggests}
Description: GNU R kernel density estimation for heaped and rounded data
In self-reported or anonymised data the user often encounters heaped
data, i.e. data which are rounded (to a possibly different degree of
coarseness). While this is mostly a minor problem in parametric density
estimation the bias can be very large for non-parametric methods such as
kernel density estimation. This package implements a partly Bayesian
algorithm treating the true unknown values as additional parameters and
estimates the rounding parameters to give a corrected kernel density
estimate. It supports various standard bandwidth selection methods.
Varying rounding probabilities (depending on the true value) and
asymmetric rounding is estimable as well: Gross, M. and Rendtel, U.
(2016) (<doi:10.1093/jssam/smw011>). Additionally, bivariate non-
parametric density estimation for rounded data, Gross, M. et al. (2016)
(<doi:10.1111/rssa.12179>), as well as data aggregated on areas is
supported.
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