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). .


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install.packages("bmscstan")

1.1.0 by Michele Scandola, a month ago


Browse source code at https://github.com/cran/bmscstan


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