Kernelheaping: Kernel Density Estimation for Heaped and Rounded Data
Version 1.6

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.

AuthorMarcus Gross
Date of publication2016-04-16 00:09:59
MaintainerMarcus Gross <marcus.gross@fu-berlin.de>
LicenseGPL-2 | GPL-3
Version1.6
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("Kernelheaping")

Popular man pages

dclass: Kernel density estimation for classified data
dheaping: Kernel density estimation for heaped data
Kernelheaping: Kernel Density Estimation for Heaped Data
plot.bivrounding: Plot Kernel density estimate of heaped data naively and...
plot.Kernelheaping: Plot Kernel density estimate of heaped data naively and...
students: Student0405
tracePlots: Plots some trace plots for the rounding, bias and...
See all...

All man pages Function index File listing

Man pages

createSim.Kernelheaping: Create heaped data for Simulation
dbivr: Bivariate kernel density estimation for rounded data
dclass: Kernel density estimation for classified data
dheaping: Kernel density estimation for heaped data
dshapebivr: Bivariate Kernel density estimation for data classified in...
Kernelheaping: Kernel Density Estimation for Heaped Data
plot.bivrounding: Plot Kernel density estimate of heaped data naively and...
plot.Kernelheaping: Plot Kernel density estimate of heaped data naively and...
sim.Kernelheaping: Simulation of heaping correction method
simSummary.Kernelheaping: Simulation Summary
students: Student0405
summary.Kernelheaping: Prints some descriptive statistics (means and quantiles) for...
tracePlots: Plots some trace plots for the rounding, bias and...

Functions

Kernelheaping Man page
Kernelheaping-package Man page
Rprx Source code
Rprx2 Source code
createSim.Kernelheaping Man page Source code
dbc Source code
dbivr Man page Source code
dclass Man page Source code
dheaping Man page Source code
dshapebivr Man page Source code
getNewV Source code
getNewX Source code
logLik Source code
logLikRandomGamma Source code
plot.Kernelheaping Man page Source code
plot.bivrounding Man page Source code
rprobsRR2 Source code
sim.Kernelheaping Man page Source code
simSummary.Kernelheaping Man page Source code
students Man page
summary.Kernelheaping Man page Source code
tracePlots Man page Source code

Files

NAMESPACE
data
data/students.rda
R
R/Kernelheaping.R
R/functions.R
R/datasets.R
MD5
DESCRIPTION
man
man/students.Rd
man/Kernelheaping.Rd
man/sim.Kernelheaping.Rd
man/createSim.Kernelheaping.Rd
man/dheaping.Rd
man/simSummary.Kernelheaping.Rd
man/plot.Kernelheaping.Rd
man/summary.Kernelheaping.Rd
man/dbivr.Rd
man/dclass.Rd
man/plot.bivrounding.Rd
man/tracePlots.Rd
man/dshapebivr.Rd
Kernelheaping documentation built on May 19, 2017, 1:48 p.m.

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