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APCtools

1.0.8

Routines for Descriptive and Model-Based APC Analysis

0packages depend
5.6Kdownloads / year
94.7%test coverage
13/13checks pass

Overview

About
Maintained by Alexander BauerFirst published 2022-01-054 releasesCRAN page ↗GitHub ↗

Age-Period-Cohort (APC) analyses are used to differentiate relevant drivers for long-term developments. The 'APCtools' package offers visualization techniques and general routines to simplify the workflow of an APC analysis. Sophisticated functions are available both for descriptive and regression model-based analyses. For the former, we use density (or ridgeline) matrices and (hexagonally binned) heatmaps as innovative visualization techniques building on the concept of Lexis diagrams. Model-based analyses build on the separation of the temporal dimensions based on generalized additive models, where a tensor product interaction surface (usually between age and period) is utilized to represent the third dimension (usually cohort) on its diagonal. Such tensor product surfaces can also be estimated while accounting for further covariates in the regression model. See Weigert et al. (2021) doi:10.1177/1354816620987198 for methodological details.

Install

Health

CRAN checks
13OK
Slowest check: 6.5 min · r-devel-linux-x86_64-fedora-clang
Code health
Yes
Tests · ratio 0.15
94.7%
Coverage · measured lines
100%
Documentation · exports
10
Dependencies · direct
Check history
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-13
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-12
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 527 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
90%
Return-value docs
100%
References docs
24%

Downloads

5.6K
CRAN downloads in the past year
Rank #9,616 · ~15/day · ~470/mo
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36730 days
1.1K90 days
5.6K1 year
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Repository

Repository
16Stars
5Forks
4Open issues
0Open PRs
1Releases
242Commits
7Contributors
242 commits · Last activity 2025-06-18 · 0% stars, 30d

Stars over time

2025-04-04 · 152026-07-07 · 16

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/bauer-alex/apctools on 2026-07-19.

Continuous integration (3)
GitHub ActionsTravis CIAppVeyor
Reproducibility and dev environment (1)
data-raw/
Docs source (1)
README.Rmd
Coverage (1)
Codecov
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Listed in earlier versions (1)
no longer listed · 1.0.0 to 1.0.1
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.8Latest
    2025-06-18 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.4
    2023-01-14 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.1
    2022-01-11 · diff ↗
  • 1.0.0
    2022-01-05
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-01-05
Total releases
4 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5
Bundled data
253 KB / 2 files
Download size
3.7 MB
Installed size
not tracked yet
With dependencies
not tracked yet
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