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Make graphical representations of single case data and transform graphical displays back to raw data, as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>. The package also includes tools for visually analyzing single-case data, by displaying central location, variability and trend.
| Version: | 1.3.1 |
| Imports: | ggExtra, ggplot2, graphics, plotly, scales, stats, utils |
| Published: | 2020-01-09 |
| Author: | Isis Bulte, Tamal Kumar De, Patrick Onghena |
| Maintainer: | Tamal Kumar De <tamalkumar.de at kuleuven.be> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | SCVA results |
| Reference manual: | SCVA.pdf |
| Package source: | SCVA_1.3.1.tar.gz |
| Windows binaries: | r-devel: SCVA_1.3.1.zip, r-release: SCVA_1.3.1.zip, r-oldrel: SCVA_1.3.1.zip |
| macOS binaries: | r-release (arm64): SCVA_1.3.1.tgz, r-oldrel (arm64): SCVA_1.3.1.tgz, r-release (x86_64): SCVA_1.3.1.tgz, r-oldrel (x86_64): SCVA_1.3.1.tgz |
| Old sources: | SCVA archive |
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These binaries (installable software) and packages are in development.
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