APCtools: Routines for Descriptive and Model-Based APC Analysis

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.

Version: 1.0.1
Depends: R (≥ 3.5)
Imports: ggpubr, checkmate, knitr, ggplot2, colorspace, dplyr, mgcv, scales, tidyr
Suggests: testthat (≥ 3.0.0), rmarkdown, covr
Published: 2022-01-11
Author: Alexander Bauer ORCID iD [aut, cre], Maximilian Weigert ORCID iD [aut], Hawre Jalal ORCID iD [aut], Pauline Hohenemser [ctb]
Maintainer: Alexander Bauer <alexander.bauer at stat.uni-muenchen.de>
BugReports: https://github.com/bauer-alex/APCtools/issues
License: MIT + file LICENSE
URL: https://bauer-alex.github.io/APCtools/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: APCtools results

Documentation:

Reference manual: APCtools.pdf
Vignettes: APC Analysis with APCtools

Downloads:

Package source: APCtools_1.0.1.tar.gz
Windows binaries: r-devel: APCtools_1.0.1.zip, r-release: APCtools_1.0.1.zip, r-oldrel: APCtools_1.0.1.zip
macOS binaries: r-release (arm64): APCtools_1.0.1.tgz, r-release (x86_64): APCtools_1.0.1.tgz, r-oldrel: not available
Old sources: APCtools archive

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