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.
- Version1.0.1
- R versionR (≥ 4.1.0)
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Languageen-GB
- Last release11/11/2025
Documentation
- Vignette1. Quick start
- Vignette2. Data preprocessing
- Vignette3. Algorithm for binning data
- Vignette4. Algorithm for visualising the model overlaid on high-dimensional data
- Vignette5. Generating model summaries
- Vignette6. Selecting the optimal bin width
- Vignette7. Selecting the best fit
- MaterialREADME
- MaterialNEWS
Team
Jayani P. Gamage
MaintainerShow author detailsPaul Harrison
Thiyanga S. Talagala
Dianne Cook
Michael Lydeamore
Insights
Last 30 days
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