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 Description: The user has the option to utilize the two-dimensional density estimation techniques called smoothed density published by Eilers and Goeman (2004) , and pareto density which was evaluated for univariate data by Thrun, Gehlert and Ultsch, 2020 . 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) . 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 Config/pak/sysreqs: make Repository: https://mthrun.r-universe.dev Date/Publication: 2025-04-15 14:49:38 UTC RemoteUrl: https://github.com/mthrun/scatterdensity RemoteRef: HEAD RemoteSha: aa3eaa91be8c176880a5fa3bc569dc1157281012 Packaged: 2026-06-24 05:05:51 UTC; root Author: Michael Thrun [aut, cre, cph] (ORCID: ), Felix Pape [aut, rev], Luca Brinkman [aut], Quirin Stier [aut] (ORCID: )