Kernelheaping

Package: Kernelheaping
Type: Package
Title: Kernel Density Estimation for Heaped and Rounded Data
Version: 1.6
Date: 2016-04-15
Depends: R (>= 2.15.0), MASS, ks, sparr
Imports: sp, plyr
Author: Marcus Gross
Maintainer: Marcus Gross <marcus.gross@fu-berlin.de>
Description: 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. Additionally,
bivariate non-parametric density estimation for rounded data as well as data aggregated on areas is supported.
License: GPL-2 | GPL-3
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-04-15 14:03:24 UTC; marcusgross
Repository: CRAN
Date/Publication: 2016-04-16 00:09:59

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'Kernelheaping' ...
** package 'Kernelheaping' successfully unpacked and MD5 sums checked
** R
** data
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'Kernelheaping'
    finding HTML links ... done
    Kernelheaping                           html  
    createSim.Kernelheaping                 html  
    dbivr                                   html  
    dclass                                  html  
    dheaping                                html  
    dshapebivr                              html  
    plot.Kernelheaping                      html  
    plot.bivrounding                        html  
    sim.Kernelheaping                       html  
    simSummary.Kernelheaping                html  
    students                                html  
    summary.Kernelheaping                   html  
    tracePlots                              html  
** building package indices
** testing if installed package can be loaded
* DONE (Kernelheaping)
Making 'packages.html' ... done