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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.html ,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 formhttps://CRAN.R-project.org/package=SCVAto link to this page.


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