The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
DOI: | 10.32614/CRAN.package.quollr |
Author: | Jayani P.G. Lakshika [aut, cre], Dianne Cook [aut], Paul Harrison [aut], Michael Lydeamore [aut], Thiyanga S. Talagala [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-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_0.1.1.tgz, r-oldrel (x86_64): quollr_0.1.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=quollr to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.