Package: ScatterDensity
Type: Package
Title: Density Estimation and Visualization of 2D Scatter Plots
Version: 0.1.0
Date: 2025-05-15
Authors@R: c(person("Michael", "Thrun", email= "m.thrun@gmx.net",role=c("aut","cre","cph"), comment = c(ORCID = "0000-0001-9542-5543")),person("Felix", "Pape",role=c("aut","rev")),person("Luca","Brinkman",role=c("aut")),person("Quirin", "Stier",role=c("aut"), comment = c(ORCID = "0000-0002-7896-4737")))
Maintainer: Michael Thrun <m.thrun@gmx.net>
Description: 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>.
LazyLoad: yes
Imports: Rcpp, RcppParallel (>= 5.1.4), pracma
Suggests: DataVisualizations, ggplot2, ggExtra, plotly, FCPS,
        parallelDist, secr, ClusterR
Depends: methods, R (>= 2.10)
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
NeedsCompilation: yes
License: GPL-3
Encoding: UTF-8
URL: https://www.deepbionics.org/
BugReports: https://github.com/Mthrun/ScatterDensity/issues
Packaged: 2025-04-15 14:50:05 UTC; MCT
Author: Michael Thrun [aut, cre, cph] (<https://orcid.org/0000-0001-9542-5543>),
  Felix Pape [aut, rev],
  Luca Brinkman [aut],
  Quirin Stier [aut] (<https://orcid.org/0000-0002-7896-4737>)
Repository: CRAN
Date/Publication: 2025-04-15 15:20:05 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2025-08-18 04:54:41 UTC; unix
Archs: ScatterDensity.so.dSYM
