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 | 
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