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AdaptGauss  

Gaussian Mixture Models (GMM)
View on CRAN: Click here


Download and install AdaptGauss package within the R console
Install from CRAN:
install.packages("AdaptGauss")

Install from Github:
library("remotes")
install_github("cran/AdaptGauss")

Install by package version:
library("remotes")
install_version("AdaptGauss", "1.6")



Attach the package and use:
library("AdaptGauss")
Maintained by
Michael Thrun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-10-09
Latest Update: 2024-02-02
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) .
How to cite:
Michael Thrun (2015). AdaptGauss: Gaussian Mixture Models (GMM). R package version 1.6, https://cran.r-project.org/web/packages/AdaptGauss. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0 (2015-10-09 11:36), 1.1.0 (2015-10-14 14:43), 1.2.0 (2016-03-16 16:43), 1.2.2 (2016-06-15 12:28), 1.2.3 (2016-06-16 18:18), 1.2.4 (2016-06-30 18:16), 1.3.3 (2017-03-15 17:12), 1.3.5 (2018-07-11 13:00), 1.5.4 (2019-11-18 16:30), 1.5.6 (2020-02-03 11:00), 1.5 (2019-01-31 15:43)
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Complete documentation for AdaptGauss
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