quollr: Visualising How Nonlinear Dimension Reduction Warps Your Data

To construct a model in 2D space from 2D embedding data and then lift it to the high-dimensional space. Additionally, it provides tools to visualize the model in 2D space and to overlay the fitted model on data using the tour technique. Furthermore, it facilitates the generation of summaries of high-dimensional distributions.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: dplyr, ggplot2, grid, interp (≥ 1.1-6), langevitour, proxy, rlang, rsample, stats, tibble, tidyselect
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), vdiffr, umap
Published: 2024-03-05
Author: Jayani P.G. Lakshika ORCID iD [aut, cre], Dianne Cook ORCID iD [aut], Paul Harrison ORCID iD [aut], Michael Lydeamore ORCID iD [aut], Thiyanga S. Talagala ORCID iD [aut]
Maintainer: Jayani P.G. Lakshika <jayanilakshika76 at gmail.com>
BugReports: https://github.com/JayaniLakshika/quollr/issues
License: MIT + file LICENSE
URL: https://github.com/JayaniLakshika/quollr
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: quollr results


Reference manual: quollr.pdf
Vignettes: 1. Data preprocessing
2. Algorithm for visualising the model overlaid on high-dimensional data
3. Algorithm for binning data
4. Generating model summaries


Package source: quollr_0.1.1.tar.gz
Windows binaries: r-prerel: quollr_0.1.1.zip, r-release: quollr_0.1.1.zip, r-oldrel: quollr_0.1.1.zip
macOS binaries: r-prerel (arm64): quollr_0.1.1.tgz, r-release (arm64): quollr_0.1.1.tgz, r-oldrel (arm64): quollr_0.1.1.tgz, r-prerel (x86_64): quollr_0.1.1.tgz, r-release (x86_64): quollr_0.1.1.tgz


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