Package: adheaping
Type: Package
Title: Characteristic-Function De-Heaping Density Estimation
Version: 1.0.0
Authors@R: person("Mitchell A.", "Thornton", email = "mitchat@sbcglobal.net",
    role = c("aut", "cre"))
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.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: stats
Suggests: Kernelheaping, foreign, testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/mitch-thornton/kde-ad-heaping
BugReports: https://github.com/mitch-thornton/kde-ad-heaping/issues
VignetteBuilder: knitr
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2026-07-16 19:37:08 UTC; root
Author: Mitchell A. Thornton [aut, cre]
Maintainer: Mitchell A. Thornton <mitchat@sbcglobal.net>
Repository: CRAN
Date/Publication: 2026-07-24 09:30:19 UTC
