Parametric and nonparametric statistics for single-case design. Regarding nonparametric statistics, the index suggested by Parker, Vannest, Davis and Sauber (2011) <doi:10.1016/j.beth.2010.08.006> was included. It combines both nonoverlap and trend to estimate the effect size of a treatment in a single case design.
| Version: | 0.1.0 | 
| Depends: | R (≥ 2.15) | 
| Imports: | Kendall | 
| Published: | 2018-04-16 | 
| DOI: | 10.32614/CRAN.package.effectsizescr | 
| Author: | Isabella Giammusso | 
| Maintainer: | Isabella Giammusso <isabella.giammusso at unipa.it> | 
| License: | MIT + file LICENSE | 
| NeedsCompilation: | no | 
| CRAN checks: | effectsizescr results | 
| Reference manual: | effectsizescr.html , effectsizescr.pdf | 
| Package source: | effectsizescr_0.1.0.tar.gz | 
| Windows binaries: | r-devel: effectsizescr_0.1.0.zip, r-release: effectsizescr_0.1.0.zip, r-oldrel: effectsizescr_0.1.0.zip | 
| macOS binaries: | r-release (arm64): effectsizescr_0.1.0.tgz, r-oldrel (arm64): effectsizescr_0.1.0.tgz, r-release (x86_64): effectsizescr_0.1.0.tgz, r-oldrel (x86_64): effectsizescr_0.1.0.tgz | 
Please use the canonical form https://CRAN.R-project.org/package=effectsizescr to link to this page.