A case study on sequential regression models using Stan
This repository implements a case study on sequential regression models. Sequential models are a special type of ordinal regression models, but additionally assume that the different categories can only be reached sequentially, i.e., one after another. Arguably this should make them often more appropriate to use for some biological and medical applications than conventional ordinal models where such a sequential response mechanism can be assumed.
You can find the case study here. It uses rstan for data analysis.
Thanks to Jana Linnik for introducing me to sequential regression models and for making me aware that many biological data sets can be more appropriately modelled using a sequential response mechanism.
The relevant code that is used in this case study is implemented as an R-package. You can install it using the latest GitHub release:
remotes::install_github("dirmeier/rstansequential@v0.1.0")Simon Dirmeier simon.dirmeier @ gmx.de