GaussianMixtures |
Construct a poset of gaussian mixture models. |
generateAllBinaryTrees |
Generate all non-isomorphic binary trees. |
getAllEdges |
Edges representing the largest model. |
getAllEdges.LatentForests |
Edges representing the largest model. |
getCovMat |
Create a covariance matrix. |
getCovMat.LatentForests |
Create a covariance matrix. |
getData |
Return the set data. |
getData.BinomialMixtures |
Return the set data. |
getData.FactorAnalyses |
Return the set data. |
getData.GaussianMixtures |
Return the set data. |
getData.LatentForests |
Return the set data. |
getData.LCAs |
Return the set data. |
getData.ReducedRankRegressions |
Return the set data. |
getDimension |
Model dimension. |
getDimension.BinomialMixtures |
Model dimension. |
getDimension.FactorAnalyses |
Model dimension. |
getDimension.GaussianMixtures |
Model dimension. |
getDimension.LatentForests |
Model dimension. |
getDimension.LCAs |
Model dimension. |
getDimension.ReducedRankRegressions |
Model dimension. |
getModelWithSupport |
Get model with the given support. |
getModelWithSupport.LatentForests |
Get model with the given support. |
getNumFactorsForModel |
Number of factors for a model. |
getNumFactorsForModel.FactorAnalyses |
Number of factors for a model. |
getNumLeaves |
Get number of leaves. |
getNumLeaves.LatentForests |
Get number of leaves. |
getNumModels |
Number of models. |
getNumModels.BinomialMixtures |
Number of models. |
getNumModels.FactorAnalyses |
Number of models. |
getNumModels.GaussianMixtures |
Number of models. |
getNumModels.LatentForests |
Number of models. |
getNumModels.LCAs |
Number of models. |
getNumModels.ReducedRankRegressions |
Number of models. |
getNumSamples |
Number of samples in the set data. |
getNumSamples.BinomialMixtures |
Number of samples in the set data. |
getNumSamples.FactorAnalyses |
Number of samples in the set data. |
getNumSamples.GaussianMixtures |
Number of samples in the set data. |
getNumSamples.LatentForests |
Number of samples in the set data. |
getNumSamples.LCAs |
Number of samples in the set data. |
getNumSamples.ReducedRankRegressions |
Number of samples in the set data. |
getNumVertices |
Maximum number of vertices. |
getNumVertices.LatentForests |
Maximum number of vertices. |
getPhi |
Get the phi parameter. |
getPhi.MixtureModels |
Get the phi parameter. |
getPrior |
The prior on the models. |
getPrior.BinomialMixtures |
The prior on the models. |
getPrior.FactorAnalyses |
The prior on the models. |
getPrior.GaussianMixtures |
The prior on the models. |
getPrior.LatentForests |
The prior on the models. |
getPrior.LCAs |
The prior on the models. |
getPrior.ReducedRankRegressions |
The prior on the models. |
getSamplingCovMat |
Sampling covariance matrix. |
getSamplingCovMat.LatentForests |
Sampling covariance matrix. |
getSupport |
Get support for a given model. |
getSupport.LatentForests |
Get support for a given model. |
getTopOrder |
Topological ordering of models. |
getTopOrder.BinomialMixtures |
Topological ordering of models. |
getTopOrder.FactorAnalyses |
Topological ordering of models. |
getTopOrder.GaussianMixtures |
Topological ordering of models. |
getTopOrder.LatentForests |
Topological ordering of models. |
getTopOrder.LCAs |
Topological ordering of models. |
getTopOrder.ReducedRankRegressions |
Topological ordering of models. |