AdaptGauss
Gaussian Mixture Models (GMM)
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.
- Version1.6
- R version≥ 2.10
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/02/2024
Documentation
Team
Michael Thrun
Florian Lerch
Show author detailsRolesContributor, ReviewerJorn Lotsch
Show author detailsRolesdtc, Reviewer, fnd, ContributorQuirin Stier
Show author detailsRolesContributor, ReviewerAlfred Ultsch
Show author detailsRolesAuthor, Copyright holder, Thesis advisorOnno Hansen-Goos
Show author detailsRolesAuthor, ReviewerRabea Griese
Show author detailsRolesctr, ContributorCatharina Lippmann
Show author detailsRolesctrLuca Brinkmann
Show author detailsRolesContributor, Reviewer
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- Imports5 packages
- Suggests8 packages
- Linking To1 package
- Reverse Imports4 packages