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 [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 |
In views: |
DynamicVisualizations |
CRAN checks: |
liminal results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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