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 <doi:10.18637/jss.v047.i03>.

AuthorPrzemyslaw Biecek \& Ewa Szczurek
Date of publication2017-02-27 11:44:36
MaintainerPrzemyslaw Biecek <Przemyslaw.Biecek@gmail.com>
LicenseGPL-3
Version1.8.3
http://bgmm.molgen.mpg.de/

View on CRAN

Functions

belief Man page
beliefList Man page
bgmm Man page
bgmm-package Man page
CellCycle Man page
CellCycleBeliefs Man page
CellCycleCenters Man page
CellCycleClass Man page
CellCycleData Man page
chooseModels Man page
chooseOptimal Man page
crossval Man page
DEprobs Man page
determinant.numeric Man page
genotypes Man page
getDF Man page
getGIC Man page
getModelStructure Man page
init.model.params Man page
init.model.params.knowns Man page
loglikelihood.mModel Man page
map Man page
miR124Data Man page
miR1Data Man page
miRNA Man page
miRNABeliefs Man page
miRNAClass Man page
mModel Man page
mModelList Man page
plotGIC Man page
plot.mModel Man page
plot.mModelList Man page
predict.mModel Man page
semisupervised Man page
semisupervisedList Man page
simulateData Man page
soft Man page
softList Man page
Ste12 Man page
Ste12Beliefs Man page
Ste12Binding Man page
Ste12Data Man page
supervised Man page
supervisedList Man page
unsupervised Man page
unsupervisedList Man page

Files

bgmm
bgmm/inst
bgmm/inst/CITATION
bgmm/tests
bgmm/tests/testthat.R
bgmm/tests/testthat
bgmm/tests/testthat/test_bgmm.R
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/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

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