bmscstan: 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). <doi:10.31234/osf.io/sajdq>.
| Version: | 1.1.0 |
| Depends: | R (≥ 3.5.0), rstan, logspline, bayesplot, LaplacesDemon, ggplot2 |
| Imports: | coda |
| Suggests: | reshape2, gridExtra, loo, mcmcse, bridgesampling, testthat, knitr, rmarkdown |
| Published: | 2020-11-08 |
| Author: | Michele Scandola 
[aut, cre] |
| Maintainer: | Michele Scandola <michele.scandola at univr.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | bmscstan citation info |
| Materials: | README |
| CRAN checks: | bmscstan results |
Downloads:
| Reference manual: | bmscstan.pdf |
| Vignettes: |
Fitting Bayesian Multilevel Single Case models using bmscstan |
| Package source: | bmscstan_1.1.0.tar.gz |
| Windows binaries: | r-devel: bmscstan_1.1.0.zip, r-release: bmscstan_1.1.0.zip, r-oldrel: bmscstan_1.1.0.zip |
| macOS binaries: | r-release (arm64): bmscstan_1.1.0.tgz, r-release (x86_64): bmscstan_1.1.0.tgz, r-oldrel: bmscstan_1.1.0.tgz |
| Old sources: | bmscstan archive |
Linking:
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