Package: r-cran-kernelheaping
Version: 2.3.0-1build1
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 200
Depends: r-api-4.0, 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
Section: gnu-r
Priority: optional
Homepage: https://cran.r-project.org/package=Kernelheaping
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.
