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)
This is the repository containing the source code, documentation and metadata for the R package $\texttt{MAPCtools}$, a package for analyzing age-period-cohort data. The package provides functions for estimating Bayesian APC models using INLA.
The package was developed during my Master's thesis in the 30 credit course TMA4900 - Industrial Mathematics, Master's Thesis.