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APCtools  

Routines for Descriptive and Model-Based APC Analysis
View on CRAN: Click here


Download and install APCtools package within the R console
Install from CRAN:
install.packages("APCtools")

Install from Github:
library("remotes")
install_github("cran/APCtools")

Install by package version:
library("remotes")
install_version("APCtools", "1.0.8")



Attach the package and use:
library("APCtools")
Maintained by
Alexander Bauer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-05
Latest Update: 2025-06-18
Description:
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) for methodological details.
How to cite:
Alexander Bauer (2022). APCtools: Routines for Descriptive and Model-Based APC Analysis. R package version 1.0.8, https://cran.r-project.org/web/packages/APCtools. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.0 (2022-01-05 10:20), 1.0.1 (2022-01-11 11:22), 1.0.4 (2023-01-14 00:30)
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