A new preprint was released today!
In strict collaboration with Daniele Romano, I have prepared a R package, with the purpose to prepare a comprehensive methodology to analyse single case data compared to control individuals.
This Bayesian methdology allows the flexibility of a Multilevel Linear Model, but a good control of first- and second-type errors.
The package is bmscstan and it is available on my github.
Hi all! I am really excited in sharing with you the preprint of bmscstan, a R package to fit Bayesian Multilevel Models comparing single case v. control data using Stan!
— Michele Scandola (@Scandle) August 3, 2020
Article written with @romanodan #rstats #Bayes #OSF #preprint https://t.co/2oQ5shUb0Z