Description
Bayesian Multilevel Single Case Models using 'Stan'.
Description
Analyse single case analyses against a control group. Its purpose is to provide a flexible, with good power and low first type error approach that can manage at the same time controls' and patient's data. The use of Bayesian statistics allows to test both the alternative and null hypothesis. Scandola, M., & Romano, D. (2020, August 3). <doi:10.31234/osf.io/sajdq> Scandola, M., & Romano, D. (2021). <doi:10.1016/j.neuropsychologia.2021.107834>.
README.md
bmscstan
Bayesian Multilevel Single Case models using ‘Stan’
This package allows to fit within the Bayesian Framework single case and controls data, with the flexibility of Multilevel Models.
Works in R and it needs Stan.
More details in the help page.