Bayesian Multilevel Single Case Models using 'Stan'
Fit Bayesian Multilevel Single Case models
loo and waic.
bmscstan wrapper for model comparison.
bmscstan wrapper for diagnostics for Pareto smoothed importance sampli...
Bayesian Multilevel Single Case models using 'Stan'
Data from a control group of 16 participants
Data from a Single Case with brachial plexious lesion
Pairwise contrasts
Plot estimates from a BMSC object.
Plot estimates from a pairwise.BMSC object.
Posterior predictive check for BMSC objects
Print summaries of Pairwise Bayesian Multilevel Single Case objects
Print summaries of Bayesian Multilevel Single Case objects
Random Effects specification on Bayesian Multilevel Single Case models...
Summarizing Bayesian Multilevel Single Case objects
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>.