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Data collected during 2004 and 2005 from students in statistics classes at a large state university in the northeastern United States.
● Data Source:
CranContrib
● Keywords:
● Alias: students
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Kernelheaping
(Package: Kernelheaping) :
Kernel Density Estimation for Heaped Data
In self-reported or anonymized 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 is supported.
● Data Source:
CranContrib
● Keywords:
● Alias: Kernelheaping, Kernelheaping-package
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Simulation of heaping correction method
● Data Source:
CranContrib
● Keywords:
● Alias: sim.Kernelheaping
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Create heaped data for Simulation
● Data Source:
CranContrib
● Keywords:
● Alias: createSim.Kernelheaping
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dheaping
(Package: Kernelheaping) :
Kernel density estimation for heaped data
Kernel density estimation for heaped data
● Data Source:
CranContrib
● Keywords:
● Alias: dheaping
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Simulation Summary
● Data Source:
CranContrib
● Keywords:
● Alias: simSummary.Kernelheaping
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plot.Kernelheaping
(Package: Kernelheaping) :
Plot Kernel density estimate of heaped data naively and corrected by partly bayesian model
Plot Kernel density estimate of heaped data naively and corrected by partly bayesian model
● Data Source:
CranContrib
● Keywords:
● Alias: plot.Kernelheaping
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summary.Kernelheaping
(Package: Kernelheaping) :
Prints some descriptive statistics (means and quantiles) for the estimated rounding, bias and acceleration (beta) parameters
Prints some descriptive statistics (means and quantiles) for the estimated rounding, bias and acceleration (beta) parameters
● Data Source:
CranContrib
● Keywords:
● Alias: summary.Kernelheaping
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dbivr
(Package: Kernelheaping) :
Bivariate kernel density estimation for rounded data
Bivariate kernel density estimation for rounded data
● Data Source:
CranContrib
● Keywords:
● Alias: dbivr
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dclass
(Package: Kernelheaping) :
Kernel density estimation for classified data
Kernel density estimation for classified data
● Data Source:
CranContrib
● Keywords:
● Alias: dclass
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providing 
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