CRAN/E | quollr

quollr

Visualising How Nonlinear Dimension Reduction Warps Your Data

Installation

About

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.

github.com/JayaniLakshika/quollr
Bug report File report

Key Metrics

Version 0.1.1
R ≥ 3.5.0
Published 2024-03-05 60 days ago
Needs compilation? no
License MIT
License File
CRAN checks quollr results
Language en-GB

Downloads

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Last 30 days 148 -42%
Last 90 days 393
Last 365 days 393

Maintainer

Maintainer

Jayani P.G. Lakshika

jayanilakshika76@gmail.com

Authors

Jayani P.G. Lakshika

aut / cre

Dianne Cook

aut

Paul Harrison

aut

Michael Lydeamore

aut

Thiyanga S. Talagala

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

1. Data preprocessing
2. Algorithm for visualising the model overlaid on high-dimensional data
3. Algorithm for binning data
4. Generating model summaries

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

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