Package: wnpp Severity: wishlist Subject: ITP: r-cran-kernelheaping -- GNU R kernel density estimation for heaped and rounded data Package: wnpp Owner: Andreas Tille <ti...@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
