Correction of Heaping on Individual Level R package heaping version 0.2.0 Provides methods for correcting heaping (digit preference) in survey data at the individual record level. Age heaping, where respondents disproportionately report ages ending in 0 or 5, is a common phenomenon that can distort demographic analyses. Unlike traditional smoothing methods that only correct aggregated statistics, this package corrects individual values by replacing a calculated proportion of heaped observations with draws from fitted truncated distributions (log-normal, normal, or uniform). Supports 5-year and 10-year heaping patterns, single heap correction, survey weights, and optional covariate-conditional (model-based) correction via quantile regression forests or linear models to preserve relationships. A multiple-imputation wrapper repeats the correction to propagate the added uncertainty into downstream inference. Software Depends: R (>= 3.5.0) Imports: fitdistrplus, EnvStats, stats Suggests: VIM, ranger, data.table, ggplot2, simPop, testthat (>= 3.0.0), knitr, rmarkdown Matthias Templ <matthias.templ@gmail.com> Comprehensive R Archive Network (CRAN) Matthias Templ [aut, cre] (ORCID: <https://orcid.org/0000-0002-8638-5276>), Bernhard Meindl [ctb] GPL (>= 2) 2026-07-13 application/tgz https://CRAN.R-project.org/package=heaping doi:10.32614/CRAN.package.heaping