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: 1.3.0
Imports: ggExtra, ggplot2, graphics, plotly, scales, stats, utils
Published: 2019-07-25
Author: Isis Bulte and 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

Downloads:

Reference manual: SCVA.pdf
Package source: SCVA_1.3.0.tar.gz
Windows binaries: r-devel: SCVA_1.3.0.zip, r-devel-gcc8: SCVA_1.3.0.zip, r-release: SCVA_1.3.0.zip, r-oldrel: SCVA_1.3.0.zip
OS X binaries: r-release: SCVA_1.3.0.tgz, r-oldrel: SCVA_1.3.0.tgz
Old sources: SCVA archive

Reverse dependencies:

Reverse depends: RcmdrPlugin.SCDA

Linking:

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