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ggstudent: Continuous Confidence Interval Plots using t-Distribution

Provides an extension to 'ggplot2' (Wickham, 2016, <doi:10.1007/978-3-319-24277-4>) for creating two types of continuous confidence interval plots (Violin CI and Gradient CI plots), typically for the sample mean. These plots contain multiple user-defined confidence areas with varying colours, defined by the underlying t-distribution used to compute standard confidence intervals for the mean of the normal distribution when the variance is unknown. Two types of plots are available, a gradient plot with rectangular areas, and a violin plot where the shape (horizontal width) is defined by the probability density function of the t-distribution. These visualizations are studied in (Helske, Helske, Cooper, Ynnerman, and Besancon, 2021) <doi:10.1109/TVCG.2021.3073466>.

Version:	0.1.2
Depends:	R (≥ 3.1.0)
Imports:	dplyr,ggplot2, stats
Suggests:	scales
Published:	2025-04-09
DOI:	10.32614/CRAN.package.ggstudent
Author:	Jouni Helske [aut, cre]
Maintainer:	Jouni Helske <jouni.helske at iki.fi>
BugReports:	https://github.com/helske/ggstudent/issues
License:	GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/helske/ggstudent
NeedsCompilation:	no
Citation:	ggstudent citation info
Materials:	README
CRAN checks:	ggstudent results

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