SCVA: Single-Case Visual Analysis

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
DOI: 10.32614/CRAN.package.SCVA
Author: Isis Bulte, Tamal Kumar De, Patrick Onghena
Maintainer: Tamal Kumar De < at>
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:, r-release:, r-oldrel:
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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