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
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

Reverse dependencies:

Reverse depends:

RcmdrPlugin.SCDA

Linking:

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