MAPCtools: Multivariate Age-Period-Cohort (MAPC) Modeling for Health Data
Bayesian multivariate age-period-cohort (MAPC) models for analyzing health data, with support for model fitting, visualization, stratification, and model comparison. Inference focuses on identifiable cross-strata differences, as described by Riebler and Held (2010) <doi:10.1093/biostatistics/kxp037>. Methods for handling complex survey data via the 'survey' package are included, as described in Mercer et al. (2014) <doi:10.1016/j.spasta.2013.12.001>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
dplyr, tidyselect, fastDummies, stringr, rlang, tidyr, ggplot2, viridis, scales, purrr, grid, gridExtra, ggpubr, tibble, survey |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown, INLA |
| Published: |
2025-06-25 |
| DOI: |
10.32614/CRAN.package.MAPCtools |
| Author: |
Lars Vatten [aut, cre] |
| Maintainer: |
Lars Vatten <lavatt99 at gmail.com> |
| BugReports: |
https://github.com/LarsVatten/MAPCtools/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/LarsVatten/MAPCtools |
| NeedsCompilation: |
no |
| Additional_repositories: |
https://inla.r-inla-download.org/R/stable/ |
| Materials: |
README |
| CRAN checks: |
MAPCtools results |
Documentation:
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