quollr: Visualising How Nonlinear Dimension Reduction Warps Your Data

To construct a model in 2-D space from 2-D nonlinear dimension reduction data and then lift it to the high-dimensional space. Additionally, provides tools to visualise the model overlay the data in 2-D and high-dimensional space. Furthermore, provides summaries and diagnostics to evaluate the nonlinear dimension reduction layout.

Version:	0.3.7
Depends:	R (≥ 4.1.0)
Imports:	cli, crosstalk, dplyr, ggplot2, grid, htmltools, interp (≥ 1.1-6), langevitour, patchwork, plotly, proxy, purrr, Rcpp, rsample, stats, tibble, tidyr, tidyselect
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0), vdiffr
Published:	2025-07-22
DOI:	10.32614/CRAN.package.quollr
Author:	Jayani P. Gamage [aut, cre], Dianne Cook [aut], Paul Harrison [aut], Michael Lydeamore [aut], Thiyanga S. Talagala [aut]
Maintainer:	Jayani P. Gamage <jayanilakshika76 at gmail.com>
BugReports:	https://github.com/jayanilakshika/quollr/issues
License:	MIT + file LICENSE
URL:	https://jayanilakshika.github.io/quollr/
NeedsCompilation:	yes
Language:	en-GB
Materials:	README, NEWS
CRAN checks:	quollr results

Documentation:

Reference manual:	quollr.html , quollr.pdf
Vignettes:	1. Quick start (source, R code) 2. Data preprocessing (source, R code) 3. Algorithm for binning data (source, R code) 4. Algorithm for visualising the model overlaid on high-dimensional data (source, R code) 5. Generating model summaries (source, R code) 6. Selecting the optimal bin width (source, R code) 7. Selecting the best fit (source, R code)

Downloads:

Package source:	quollr_0.3.7.tar.gz
Windows binaries:	r-devel: quollr_0.1.1.zip, r-release: quollr_0.1.1.zip, r-oldrel: quollr_0.1.1.zip
macOS binaries:	r-release (arm64): quollr_0.1.1.tgz, r-oldrel (arm64): quollr_0.1.1.tgz, r-release (x86_64): quollr_0.3.7.tgz, r-oldrel (x86_64): quollr_0.3.7.tgz
Old sources:	quollr archive

Linking:

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