Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling

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Documentation for package ‘bgmm’ version 1.8.5

• DESCRIPTION file.
• Code demos. Use demo() to run them.

Help Pages

bgmm-package	Belief-Based Gaussian Mixture Modeling
belief	Fitting Gaussian Mixture Model
beliefList	Fitting Gaussian mixture model or collection of models
bgmm	Belief-Based Gaussian Mixture Modeling
CellCycle	Data for clustering of 384 cell cycle genes into five clusters corresponding to cell cycle phases
CellCycleBeliefs	Data for clustering of 384 cell cycle genes into five clusters corresponding to cell cycle phases
CellCycleCenters	Data for clustering of 384 cell cycle genes into five clusters corresponding to cell cycle phases
CellCycleClass	Data for clustering of 384 cell cycle genes into five clusters corresponding to cell cycle phases
CellCycleData	Data for clustering of 384 cell cycle genes into five clusters corresponding to cell cycle phases
chooseModels	Selecting a subset of fitted models
chooseOptimal	Selecting a subset of fitted models
crossval	k-fold cross-validation for the specified model
DEprobs	Signed probabilities of differential expression
determinant.numeric	Set of supplementary functions for bgmm package
genotypes	Fluorescence signals corresponding to a given allele for 333 SNPs
getDF	Plotting GIC scores
getGIC	Plotting GIC scores
getModelStructure	Model structure
init.model.params	Initiation of model parameters
init.model.params.knowns	Initiation of model parameters
loglikelihood.mModel	Set of supplementary functions for bgmm package
map	Set of supplementary functions for bgmm package
miR124Data	miRNA transfection data for miR1 and miR124 target genes
miR1Data	miRNA transfection data for miR1 and miR124 target genes
miRNA	miRNA transfection data for miR1 and miR124 target genes
miRNABeliefs	miRNA transfection data for miR1 and miR124 target genes
miRNAClass	miRNA transfection data for miR1 and miR124 target genes
mModel	Fitting Gaussian Mixture Model
mModelList	Fitting Gaussian mixture model or collection of models
plot.mModel	Plotting a Graphical Visualization of a Gaussian Model or a List of Models
plot.mModelList	Plotting a graphical visualization of a model or a list of models
plotGIC	Plotting GIC scores
predict.mModel	Predictions for fitted Gaussian component model
semisupervised	Fitting Gaussian Mixture Model
semisupervisedList	Fitting Gaussian mixture model or collection of models
simulateData	Dataset generation
soft	Fitting Gaussian Mixture Model
softList	Fitting Gaussian mixture model or collection of models
Ste12	Ste12 knockout data under pheromone treatment versus wild type; Examples of Ste12 targets; Binding p-values of Ste12 to those targets.
Ste12Beliefs	Ste12 knockout data under pheromone treatment versus wild type; Examples of Ste12 targets; Binding p-values of Ste12 to those targets.
Ste12Binding	Ste12 knockout data under pheromone treatment versus wild type; Examples of Ste12 targets; Binding p-values of Ste12 to those targets.
Ste12Data	Ste12 knockout data under pheromone treatment versus wild type; Examples of Ste12 targets; Binding p-values of Ste12 to those targets.
supervised	Fitting Gaussian Mixture Model
supervisedList	Fitting Gaussian mixture model or collection of models
unsupervised	Fitting Gaussian Mixture Model
unsupervisedList	Fitting Gaussian mixture model or collection of models