Bayesian Multilevel Single Case Models using 'Stan'

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). .


Reference manual

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1.1.0 by Michele Scandola, a year ago

Browse source code at

Authors: Michele Scandola [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports coda

Depends on rstan, logspline, bayesplot, LaplacesDemon, ggplot2

Suggests reshape2, gridExtra, loo, mcmcse, bridgesampling, testthat, knitr, rmarkdown

See at CRAN