R Observatory: Metrics for heaping version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

heaping

0.2.0Package record

Correction of Heaping on Individual Level

0packages depend

1.9Kdownloads / year

87.9%test coverage

13/13flavors OK

Overview

About

Maintained by Matthias TemplCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 0.2.0

Major changes

correctHeaps() and correctSingleHeap() gain survey-weight support via a new weight= argument. Heaping ratios and the selection of records to correct then use weighted counts (records are drawn uniformly and accumulated until their cumulative weight covers the excess mass).
**Breaking:** model-based correction is redesigned. Instead of a random-forest sign-adjustment heuristic, correctHeaps(model=, dataModel=) now fits an imputation model for age given the covariates on the *retained* ("trusted") records and draws covariate-conditional replacements for the selected heaped records. The engine is selectable via model.engine = c("ranger", "lm") (a ranger quantile forest by default). Corrected values therefore differ from 0.1.x, even with the same seed.

Show all changes in 0.2.0Hide the rest of the changes in 0.2.0

New width= argument controls the truncation half-window; 10-year heaps now use a single symmetric window instead of the previous two-stage +/-4 / +/-5 correction.
New correctHeapsMI() produces m corrected datasets (with deterministically derived seeds) for multiple-imputation inference, with a print() method for the returned heapingMI object.

Internal

Removed the internal helpers .adjust_signs() and the legacy .draw_replacements(); the correction engine now lives in R/impute-model.R.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("heaping", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("matthias-da/heaping")

Development version from matthias-da/heaping. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-heaping

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-heaping

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-heaping

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.4 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 15includes a package overview page
Examples that run: 100%14 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 73%

Vignettes (1)

Introduction to the heaping Package HTML

How these are measured

Downloads

1.9K

CRAN downloads in the past year

Rank #18,848 · ~5/day · ~154/mo

Releases R versions

Daily download trend is not available in this view yet.

27130 days

68890 days

1.9K1 year

Compare downloads with other packages →

Also on54 r2u2 autocran

How downloads are counted

Repository

matthias-da/heaping ↗Account: matthias-da

0Stars

0Forks

0Open issues

0Open PRs

0Releases

License file reads as GPL-3.0 · Last activity 2026-07-13

Responsiveness

not measured

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/matthias-da/heaping on 2026-10-18.

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-01-29
Named in .gitignore: .claude, CLAUDE.md
Commits: at least 8 crediting it in the message

Models named in its commits

Claude Opus 4.84 commits · Jun to Jul 2026
Claude Fable 52 commits · Jul 2026
Claude Opus 4.51 commit · Jan 2026
Claude Opus 4.61 commit · Mar 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing heaping adds 20 packages (7 with compiled code, 17 MB of source tarballs). Heaviest: ggplot2 6.0 MB, fitdistrplus 2.4 MB, isoband 1.5 MB.

Depends (1)

R >= 3.5.0

Imports (3)

fitdistrplus EnvStatsstats

LinkingTo (0)

none

Suggests (8)

VIM ranger data.table ggplot2 simPop testthat (>= 3.0.0)knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Matthias Templ

Author, Maintainer since 0.1.0 (2026)

Bernhard Meindl

Contributor

Releases (2)

Pick two releases to compare their code metrics.

0.2.0Latest
record
2026-07-13 · current release · diff ↗ ·
added 1 export
correctHeapsMI
R
R 4.6.0 released · 2026-04-24
0.1.0
record
2026-02-09
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-02-09
Total releases: 2 / 1 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 236 KB / 1 file
Download size: 465 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("heaping")

Format

Templ, M., & Meindl, B. (2026). heaping: Correction of Heaping on Individual Level (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.heaping

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for heaping version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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