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.
- Version0.0.4
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- ScatterDensity citation info
- Last release10/09/2023
Documentation
Team
Michael Thrun
MaintainerShow author detailsQuirin Stier
Felix Pape
Show author detailsRolesAuthor, ReviewerLuca Brinkman
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 165 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,387 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 22 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports2 packages
- Suggests8 packages
- Linking To2 packages
- Reverse Suggests1 package