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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | adheaping_1.0.0.tar.gz |
100.8 KiB |
1.0.0 |
rolling linux/noble R-4.5 | adheaping_1.0.0.tar.gz |
100.9 KiB |
1.0.0 |
rolling source/ R- | adheaping_1.0.0.tar.gz |
47.7 KiB |
1.0.0 |
latest linux/jammy R-4.5 | adheaping_1.0.0.tar.gz |
100.8 KiB |
1.0.0 |
latest linux/noble R-4.5 | adheaping_1.0.0.tar.gz |
100.9 KiB |
1.0.0 |
latest source/ R- | adheaping_1.0.0.tar.gz |
47.7 KiB |
1.0.0 |
2026-04-23 source/ R- | adheaping_1.0.0.tar.gz |
0 B |