| Name : R-AdaptGauss
| |
| Version : 1.6
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp154.4.2
| Date : 2024-07-18 16:28:25
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| Group : Development/Libraries/Other
| Source RPM : R-AdaptGauss-1.6-lp154.4.2.src.rpm
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| Size : 1.20 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Gaussian Mixture Models (GMM)
|
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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
