bgmm: Gaussian Mixture Modeling Algorithms And The Belief-based Mixture Modeling

Two partially supervised mixture modeling methods: soft-label and belief-based modeling are implemented. For completeness, we equipped the package also with the functionality of unsupervised, semi- and fully supervised mixture modeling. The package can be applied also to selection of the best-fitting from a set of models with different component numbers or constraints on their structures. For detailed introduction see: Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn (2012), The R Package bgmm: Mixture Modeling with Uncertain Knowledge, Journal of Statistical Software.

AuthorPrzemyslaw Biecek \& Ewa Szczurek
Date of publication2014-12-19 15:57:54
MaintainerPrzemyslaw Biecek <Przemyslaw.Biecek@gmail.com>
LicenseGPL-3
Version1.7
http://bgmm.molgen.mpg.de/

View on CRAN

Files in this package

bgmm
bgmm/inst
bgmm/inst/CITATION
bgmm/NAMESPACE
bgmm/demo
bgmm/demo/00Index
bgmm/demo/bgmm.r
bgmm/data
bgmm/data/CellCycle.RData
bgmm/data/genotypes.RData
bgmm/data/Ste12.RData
bgmm/data/miRNA.RData
bgmm/R
bgmm/R/soft.e.step.r
bgmm/R/bgmm.m.step.r
bgmm/R/semiList.r
bgmm/R/clusterAssigment.r
bgmm/R/get.simple.beliefs.r
bgmm/R/soft.r
bgmm/R/getModelSettings.r
bgmm/R/plot.bgmm.r
bgmm/R/bgmm.e.step.r
bgmm/R/bgmm.r
bgmm/R/plot.semiList.r
bgmm/R/getSimulatedKdimensionalData.r
bgmm/R/DEprobs.r
bgmm/README.md
bgmm/MD5
bgmm/DESCRIPTION
bgmm/man
bgmm/man/plot.mModel.Rd bgmm/man/chooseModels.Rd bgmm/man/plot.mModelList.Rd bgmm/man/tools.Rd bgmm/man/getModelStructure.Rd bgmm/man/miRNA.Rd bgmm/man/init.model.params.Rd bgmm/man/plotGIC.Rd bgmm/man/mModel.Rd bgmm/man/genotypes.Rd bgmm/man/bgmm-package.Rd bgmm/man/predict.mModel.Rd bgmm/man/Ste12.Rd bgmm/man/mModelList.Rd bgmm/man/DEprobs.Rd bgmm/man/simulateData.Rd bgmm/man/crossval.Rd bgmm/man/CellCycle.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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