Changes in version 1.1.0 (2026-09-17)                  

  - heap_lattice() is reimplemented. It now performs the Moebius
    inversion the documentation always described, reading the empirical
    characteristic function directly at the exclusive replica centers of
    each grain with no binning and with the sampling floor removed. Its
    arguments change from span and Mgrid to nboot and seed, and it gains
    bootstrap standard errors.
    
    The 1.0.0 reader did not invert. It normalized replica amplitudes,
    and the unrounded share it returned was identically its grain-one
    weight, so the two quantities it reported separately were one
    number. On a known-truth simulation it was biased on every grain.
    Any weights obtained from it are superseded.
    
    The new reader has a stated regime. It recovers every weight to
    within about four percent once kappa, the standard deviation of the
    dequantized base over the coarsest grain, exceeds roughly three, and
    recovers the unit share at every kappa tested. Below that the grain
    split is descriptive rather than a measurement, and the
    documentation says so.

  - Documentation corrections, from experiments run for the accompanying
    paper. heap_grid() now records that its blind mode returned the
    imposed grid in 0 of 12 test cases where its verifying mode returned
    it in 12 of 12, so a blind reading is a candidate rather than a
    recovered grid. The README no longer describes heap_detect() as
    blind spectral detection; with its shipped settings it abstains in
    most cells. The package Description no longer calls the grid reader
    blind, and no longer calls the base-R baselines faithful, since the
    Heitjan-Rubin replica has not been checked against a published
    implementation.

  - No change to deheap_kde(), superpose_kde(), adkde(),
    heap_fraction(), heap_detect(), or any baseline. Density estimates
    from 1.0.0 are unchanged.

                 Changes in version 1.0.0 (2026-07-24)                  

  - Initial release. Characteristic-function de-heaping density
    estimation for heaped and rounded data:
      - tuning-free box-deconvolution de-heaping estimator (deheap_kde),
        superposition (superpose_kde), and the combined
        band-capacity-gated estimator (adkde);
      - blind grid, heaped-fraction, and mixed-grain (subgroup-lattice)
        readers (heap_grid, heap_fraction, heap_lattice);
      - a spectral higher-order comb detector (heap_detect);
      - faithful base-R replicas of measurement-error deconvolution
        (deconv_kde) and the Heitjan-Rubin multiple-imputation approach
        (heitjan_mi), and a wrapper for the Kernelheaping stochastic-EM
        estimator (sem_kde). Derived from the spectral-decomposition
        kernel density estimation of Thornton (arXiv:2606.15450).
  - Release archived on Zenodo: doi:10.5281/zenodo.21181205.