API for bgmm
Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling

Global functions
CellCycle Man page
CellCycleBeliefs Man page
CellCycleCenters Man page
CellCycleClass Man page
CellCycleData Man page
DEprobs Man page Source code
Ste12 Man page
Ste12Beliefs Man page
Ste12Binding Man page
Ste12Data Man page
belief Man page Source code
belief.internal Source code
beliefList Man page Source code
bgmm Man page
bgmm-package Man page
bgmm.e.step Source code
bgmm.internal Source code
bgmm.m.step Source code
check2res Source code
check3res Source code
chooseModels Man page Source code
chooseOptimal Man page Source code
clusterAssigment Source code
clusterAssigmentMeans Source code
crossval Man page Source code
determinant.numeric Man page
fij.mModel Source code
genotypes Man page
get.labels.from.beliefs Source code
get.simple.beliefs Source code
getDF Man page Source code
getDFinternal Source code
getEntropy Source code
getGIC Man page Source code
getModelStructure Man page Source code
init.model.params Man page Source code
init.model.params.HC Source code
init.model.params.knowns Man page Source code
loglikelihood.mModel Man page Source code
mModel Man page
mModelList Man page Source code
map Man page
miR124Data Man page
miR1Data Man page
miRNA Man page
miRNABeliefs Man page
miRNAClass Man page
normalize Source code
permute.model.params Source code
plot.1d Source code
plot.2d Source code
plot.mModel Man page Source code
plot.mModelList Man page Source code
plotGIC Man page Source code
plotList.1d Source code
plotList.2d Source code
predict.mModel Man page Source code
repeat.rows Source code
semisupervised Man page Source code
semisupervisedList Man page Source code
simulateData Man page Source code
soft Man page Source code
soft.e.step Source code
soft.internal Source code
softList Man page Source code
supervised Man page Source code
supervisedList Man page
unsupervised Man page Source code
unsupervisedList Man page Source code
bgmm documentation built on May 2, 2019, 2:17 a.m.