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
DOI: 10.32614/CRAN.package.liminal
Author: Stuart Lee ORCID iD [aut, cre, cph]
Maintainer: Stuart Lee <stuart.andrew.lee at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: liminal results


Reference manual: liminal.pdf
Vignettes: geometry_parameter_space


Package source: liminal_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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