CRAN/E | bmscstan

bmscstan

Bayesian Multilevel Single Case Models using 'Stan'

Installation

About

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.

Citation bmscstan citation info
github.com/michelescandola/bmscstan
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Version 1.2.1.0
R ≥ 3.5.0
Published 2022-09-04 571 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Michele Scandola

michele.scandola@univr.it

Authors

Michele Scandola

aut / cre

Material

README
Reference manual
Package source

Vignettes

Fitting Bayesian Multilevel Single Case models using bmscstan

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bmscstan archive

Depends

R ≥ 3.5.0
rstan
ggplot2
bayesplot

Imports

loo
logspline
LaplacesDemon

Suggests

reshape2
gridExtra
bridgesampling
testthat
knitr
rmarkdown
covr