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AdaptGauss

Gaussian Mixture Models (GMM)

v1.6 · Feb 2, 2024 · GPL-3

Description

Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes. Verification of the model is possible by QQ plot, Chi-squared test and Kolmogorov-Smirnov test. The package is based on the publication of Ultsch, A., Thrun, M.C., Hansen-Goos, O., Lotsch, J. (2015) <DOI:10.3390/ijms161025897>.

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CRAN Check Status

14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (4)

Dependency Network

Dependencies Reverse dependencies Rcpp shiny pracma DataVisualizations plotly DistributionOptimization Umatrix opGMMassessment scapGNN AdaptGauss

Version History

new 1.6 Mar 10, 2026
updated 1.6 ← 1.5.6 diff Feb 1, 2024
updated 1.5.6 ← 1.5.4 diff Feb 2, 2020
updated 1.5.4 ← 1.5 diff Nov 17, 2019
updated 1.5 ← 1.3.5 diff Jan 30, 2019
updated 1.3.5 ← 1.3.3 diff Jul 10, 2018
updated 1.3.3 ← 1.2.4 diff Mar 14, 2017
updated 1.2.4 ← 1.2.3 diff Jun 29, 2016
updated 1.2.3 ← 1.2.2 diff Jun 15, 2016
updated 1.2.2 ← 1.2.0 diff Jun 14, 2016
updated 1.2.0 ← 1.1.0 diff Mar 15, 2016
updated 1.1.0 ← 1.0 diff Oct 13, 2015
new 1.0 Oct 8, 2015