liminal: Multivariate Data Visualization with Tours and Embeddings

Compose interactive visualisations designed for exploratory high-dimensional data analysis. With 'liminal' you can create linked interactive graphics to diagnose the quality of a dimension reduction technique and explore the global structure of a dataset with a tour. A complete description of the method is discussed in ['Lee' & 'Laa' & 'Cook' (2020) <doi:10.48550/arXiv.2012.06077>].

Version:	0.1.2
Depends:	R (≥ 3.6.0)
Imports:	tourr (≥ 0.6.0), shiny, vegawidget, miniUI, jsonlite, rlang, dplyr, matrixStats
Suggests:	Rtsne, knitr, rmarkdown, covr, ggplot2, testthat
Published:	2021-05-28
Author:	Stuart Lee [aut, cre, cph]
Maintainer:	Stuart Lee <stuart.andrew.lee at gmail.com>
BugReports:	https://github.com/sa-lee/liminal/issues/
License:	MIT + file LICENSE
URL:	https://github.com/sa-lee/liminal/, https://sa-lee.github.io/liminal/
NeedsCompilation:	no
Materials:	README
CRAN checks:	liminal results

Documentation:

Reference manual:	liminal.pdf
Vignettes:	geometry_parameter_space liminal

Downloads:

Package source:	liminal_0.1.2.tar.gz
Windows binaries:	r-devel: liminal_0.1.2.zip, r-release: liminal_0.1.2.zip, r-oldrel: liminal_0.1.2.zip
macOS binaries:	r-release (arm64): liminal_0.1.2.tgz, r-oldrel (arm64): liminal_0.1.2.tgz, r-release (x86_64): liminal_0.1.2.tgz, r-oldrel (x86_64): liminal_0.1.2.tgz

Reverse dependencies:

Reverse suggests:

detourr

Linking:

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