ScatterDensity-package

ScatterDensity

tools:::Rd_package_description("ScatterDensity")

 package

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>.

Michael Thrun

Density Estimation and Visualization of 2D Scatter Plots

Felix Pape

Luca Brinkman

Quirin Stier

ScatterDensity-package function

tools:::Rd_package_author("ScatterDensity")
Maintainer: tools:::Rd_package_maintainer("ScatterDensity")

Author

tools:::Rd_package_title("ScatterDensity") — ScatterDensity-package

tools:::Rd_package_title("ScatterDensity")

ScatterDensity-package: tools:::Rd_package_title("ScatterDensity")

Description

Arguments

Author

Details

Examples