ScatterDensity: Density Estimation and Visualization of 2D Scatter Plots

The user has the option to utilize the two-dimensional density estimation techniques called smoothed density published by Eilers and Goeman (2004) <doi:10.1093/bioinformatics/btg454>, and pareto density which was evaluated for univariate data by Thrun, Gehlert and Ultsch, 2020 <doi:10.1371/journal.pone.0238835>. Moreover, it provides visualizations of the density estimation in the form of two-dimensional scatter plots in which the points are color-coded based on increasing density. Colors are defined by the one-dimensional clustering technique called 1D distribution cluster algorithm (DDCAL) published by Lux and Rinderle-Ma (2023) <doi:10.1007/s00357-022-09428-6>.

Version:	0.0.4
Depends:	methods, R (≥ 2.10)
Imports:	Rcpp, pracma
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	DataVisualizations, ggplot2, ggExtra, plotly, FCPS, parallelDist, secr, ClusterR
Published:	2023-10-09
DOI:	10.32614/CRAN.package.ScatterDensity
Author:	Michael Thrun [aut, cre, cph], Felix Pape [aut, rev], Luca Brinkman [aut], Quirin Stier [aut]
Maintainer:	Michael Thrun <m.thrun at gmx.net>
BugReports:	https://github.com/Mthrun/ScatterDensity/issues
License:	GPL-3
URL:	https://www.deepbionics.org/
NeedsCompilation:	yes
Citation:	ScatterDensity citation info
CRAN checks:	ScatterDensity results

Documentation:

Reference manual:

ScatterDensity.pdf

Downloads:

Package source:	ScatterDensity_0.0.4.tar.gz
Windows binaries:	r-devel: ScatterDensity_0.0.4.zip, r-release: ScatterDensity_0.0.4.zip, r-oldrel: ScatterDensity_0.0.4.zip
macOS binaries:	r-release (arm64): ScatterDensity_0.0.4.tgz, r-oldrel (arm64): ScatterDensity_0.0.4.tgz, r-release (x86_64): ScatterDensity_0.0.4.tgz, r-oldrel (x86_64): ScatterDensity_0.0.4.tgz
Old sources:	ScatterDensity archive

Reverse dependencies:

Reverse suggests:

DataVisualizations

Linking:

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