[R-pkg-team] Bug#999831: ITP: r-cran-kernelheaping -- GNU R kernel density estimation for heaped and rounded data

[Andreas Tille]

Package: wnpp
Severity: wishlist

Subject: ITP: r-cran-kernelheaping -- GNU R kernel density estimation for heaped and rounded data
Package: wnpp
Owner: Andreas Tille <tille at debian.org>
Severity: wishlist

* Package name    : r-cran-kernelheaping
  Version         : 2.2.8
  Upstream Author : Marcus Gross,
* URL             : https://cran.r-project.org/package=Kernelheaping
* License         : GPL-2
  Programming Lang: GNU R
  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.

Remark: This package is maintained by Debian R Packages Maintainers at
   https://salsa.debian.org/r-pkg-team/r-cran-kernelheaping