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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 <tamalkumar.de at kuleuven.be>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SCVA results

Documentation:

Reference manual: SCVA.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SCVA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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