{imuGAP} provides a fitting and imputation / prediction tool for a particular process model of vaccination uptake. The tool provides flexible trends and relationships for the elements of the process.
remotes::install_github("ACCIDDA/imuGAP")Requires R >= 4.1.0 and a C++ toolchain (for Stan model compilation).
The {imuGAP} sampler fits two model effects: a lifetime tendency towards vaccination and a time varying force of vaccination. To fit those effects, the model evaluates observations which may combine many populations. The model distinguishes populations by place, birth timing, and age.
The model organizes places into a hierarchy, for example a state which contains counties which in turn contain cities. The effects in a particular place combine the impact of all enclosing locations.