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adheaping: Characteristic-Function De-Heaping Density Estimation

Tuning-free kernel density estimation for heaped and rounded data using a characteristic-function theory of heaping. Rounding to a grid is convolution with a box followed by lattice sampling, so the density is recovered by deconvolving the known box and tapering against a data-driven noise floor. Provides a box-deconvolution de-heaping estimator, a superposition variant, and a single combined estimator selected by a band-capacity gate; blind grid, heaped-fraction, and mixed-grain readers; and a spectral higher-order comb detector. Faithful base-R replicas of the Heitjan-Rubin multiple-imputation and measurement-error deconvolution methods are included for comparison, and the 'Kernelheaping' stochastic expectation-maximization estimator is used when installed.

Version: 1.0.0
Depends: R (≥ 3.6)
Imports: stats
Suggests: Kernelheaping, foreign, testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-07-24
DOI: 10.32614/CRAN.package.adheaping (may not be active yet)
Author: Mitchell A. Thornton [aut, cre]
Maintainer: Mitchell A. Thornton <mitchat at sbcglobal.net>
BugReports: https://github.com/mitch-thornton/kde-ad-heaping/issues
License: MIT + file LICENSE
URL: https://github.com/mitch-thornton/kde-ad-heaping
NeedsCompilation: no
Materials: NEWS
CRAN checks: adheaping results

Documentation:

Reference manual: adheaping.html , adheaping.pdf
Vignettes: De-heaping density estimation with adheaping (source, R code)

Downloads:

Package source: adheaping_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): adheaping_1.0.0.tgz, r-oldrel (arm64): adheaping_1.0.0.tgz, r-release (x86_64): adheaping_1.0.0.tgz, r-oldrel (x86_64): adheaping_1.0.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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