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bmscstan  

Bayesian Multilevel Single Case Models using 'Stan'
View on CRAN: Click here


Download and install bmscstan package within the R console
Install from CRAN:
install.packages("bmscstan")

Install from Github:
library("remotes")
install_github("cran/bmscstan")

Install by package version:
library("remotes")
install_version("bmscstan", "1.2.1.0")



Attach the package and use:
library("bmscstan")
Maintained by
Michele Scandola
[Scholar Profile | Author Map]
First Published: 2020-09-07
Latest Update: 2022-09-04
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). Scandola, M., & Romano, D. (2021). .
How to cite:
Michele Scandola (2020). bmscstan: Bayesian Multilevel Single Case Models using 'Stan'. R package version 1.2.1.0, https://cran.r-project.org/web/packages/bmscstan. Accessed 07 May. 2025.
Previous versions and publish date:
1.0.0 (2020-09-07 11:30), 1.1.0 (2020-11-08 07:10)
Other packages that cited bmscstan R package
View bmscstan citation profile
Other R packages that bmscstan depends, imports, suggests or enhances
Complete documentation for bmscstan
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