Package: ScatterDensity 0.0.3

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>.

Authors:Michael Thrun [aut, cre, cph], Felix Pape [aut, rev], Luca Brinkman [aut], Quirin Stier [aut]

ScatterDensity_0.0.3.tar.gz
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ScatterDensity_0.0.3.tgz(r-4.4-x86_64)ScatterDensity_0.0.3.tgz(r-4.4-arm64)ScatterDensity_0.0.3.tgz(r-4.3-x86_64)ScatterDensity_0.0.3.tgz(r-4.3-arm64)
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ScatterDensity.pdf |ScatterDensity.html✨
ScatterDensity/json (API)

# Install 'ScatterDensity' in R:
install.packages('ScatterDensity', repos = c('https://mthrun.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mthrun/scatterdensity/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

2.00 score 1 scripts 225 downloads 8 exports 3 dependencies

Last updated 1 years agofrom:b568205a9a. Checks:OK: 7 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-win-x86_64OKNov 23 2024
R-4.5-linux-x86_64OKNov 23 2024
R-4.4-win-x86_64OKNov 23 2024
R-4.4-mac-x86_64OKNov 23 2024
R-4.4-mac-aarch64OKNov 23 2024
R-4.3-win-x86_64OKNov 23 2024
R-4.3-mac-x86_64NOTENov 23 2024
R-4.3-mac-aarch64NOTENov 23 2024

Exports:DDCALDensityScatter.DDCALInteractiveGateInteractiveSequentialGatesPDEscatterPointsInPolygonPolygonGateSmoothedDensitiesXY

Dependencies:pracmaRcppRcppArmadillo