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DistributionOptimization

Distribution Optimization

v1.2.6 · Feb 12, 2020 · MIT + file LICENSE

Description

Fits Gaussian Mixtures by applying evolution. As fitness function a mixture of the chi square test for distributions and a novel measure for approximating the common area under curves between multiple Gaussians is used. The package presents an alternative to the commonly used Likelihood Maximization as is used in Expectation Maximization. The algorithm and applications of this package are published under: Lerch, F., Ultsch, A., Lotsch, J. (2020) <doi:10.1038/s41598-020-57432-w>. The evolution is based on the 'GA' package: Scrucca, L. (2013) <doi:10.18637/jss.v053.i04> while the Gaussian Mixture Logic stems from 'AdaptGauss': Ultsch, A, et al. (2015) <doi:10.3390/ijms161025897>.

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r-devel-linux-x86_64-fedora-clang OK
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r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 NOTE
r-oldrel-macos-x86_64 NOTE
r-oldrel-windows-x86_64 NOTE
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CRAN incoming feasibility

Maintainer: ‘Florian Lerch <lerch@mathematik.uni-marburg.de>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Florian",
                      family = "Lerch",
                      role = c("aut", "cre"),
                      email = "lerch@mathematik.uni-marburg.de"),
               person(given = "Jorn",
                      family = "Lotsch",
                      role = "aut"),
               person(given = "Alfred",
                      family = "Ultsch",
                      role = "aut"))
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Florian Lerch <lerch@mathematik.uni-marburg.de>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Florian",
                      family = "Lerch",
                      role = c("aut", "cre"),
                      email = "lerch@mathematik.uni-marburg.de"),
               person(given = "Jorn",
                      family = "Lotsch",
                      role = "aut"),
               person(given = "Alfred",
                      family = "Ultsch",
                      role = "aut"))
as necessary.
NOTE r-oldrel-macos-arm64

LazyData

'LazyData' is specified without a 'data' directory
NOTE r-oldrel-macos-x86_64

LazyData

'LazyData' is specified without a 'data' directory
NOTE r-oldrel-windows-x86_64

LazyData

'LazyData' is specified without a 'data' directory

Check History

NOTE 9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Florian Lerch <lerch@mathematik.uni-marburg.de>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Florian",
                      family = "Lerch",
                      role = c("aut", "cre"),
...[truncated]...
),
               person(given = "Jorn",
                      family = "Lotsch",
                      role = "aut"),
               person(given = "Alfred",
                      family = "Ultsch",
                      role = "aut"))
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Florian Lerch <lerch@mathematik.uni-marburg.de>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Florian",
                      family = "Lerch",
                      role = c("aut", "cre"),
...[truncated]...
),
               person(given = "Jorn",
                      family = "Lotsch",
                      role = "aut"),
               person(given = "Alfred",
                      family = "Ultsch",
                      role = "aut"))
as necessary.
NOTE r-oldrel-macos-arm64

LazyData

'LazyData' is specified without a 'data' directory
NOTE r-oldrel-macos-x86_64

LazyData

'LazyData' is specified without a 'data' directory
NOTE r-oldrel-windows-x86_64

LazyData

'LazyData' is specified without a 'data' directory

Reverse Dependencies (1)

imports

Dependency Network

Dependencies Reverse dependencies ggplot2 GA AdaptGauss pracma opGMMassessment DistributionOptimization

Version History

new 1.2.6 Mar 10, 2026
updated 1.2.6 ← 1.2.4 diff Feb 11, 2020
updated 1.2.4 ← 1.2.1 diff Nov 24, 2019
new 1.2.1 Mar 17, 2019