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adheaping  

Characteristic-Function De-Heaping Density Estimation
View on CRAN: Click here


Download and install adheaping package within the R console
Install from CRAN:
install.packages("adheaping")

Install from Github:
library("remotes")
install_github("cran/adheaping")

Install by package version:
library("remotes")
install_version("adheaping", "1.1.0")



Attach the package and use:
library("adheaping")
Maintained by
Mitchell A. Thornton
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-24
Latest Update: 2026-07-24
Description:
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.
How to cite:
Mitchell A. Thornton (2026). adheaping: Characteristic-Function De-Heaping Density Estimation. R package version 1.1.0, https://cran.r-project.org/web/packages/adheaping. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-09-17 19:20), 1.0.0 (2026-07-24 11:30)
Other packages that cited adheaping R package
View adheaping citation profile
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Complete documentation for adheaping
Functions, R codes and Examples using the adheaping R package
Full adheaping package functions and examples
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