| sBIC-package | sBIC package documentation. | 
| BinomialMixtures | Construct a poset of binomial mixture models. | 
| emMain | EM-algorithm for latent forests. | 
| emMain.LatentForests | EM-algorithm for latent forests. | 
| emSteps | One EM-iteration. | 
| emSteps.LatentForests | One EM-iteration. | 
| FactorAnalyses | Construct a poset of factor analysis models. | 
| 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. | 
| LatentForests | Construct a poset of gaussian latent forest models. | 
| LCAs | Construct a poset of latent class analysis models. | 
| learnCoef | Learning coefficient | 
| learnCoef.FactorAnalyses | Learning coefficient | 
| learnCoef.LatentForests | Learning coefficient | 
| learnCoef.MixtureModels | Learning coefficient | 
| learnCoef.ReducedRankRegressions | Learning coefficient | 
| logLike | Multivariate gaussian log-likelihood. | 
| logLike.LatentForests | Multivariate gaussian log-likelihood. | 
| logLikeMle | Maximum likelihood for data. | 
| logLikeMle.BinomialMixtures | Maximum likelihood for data. | 
| logLikeMle.FactorAnalyses | Maximum likelihood for data. | 
| logLikeMle.GaussianMixtures | Maximum likelihood for data. | 
| logLikeMle.LatentForests | Maximum likelihood for data. | 
| logLikeMle.LCAs | Maximum likelihood for data. | 
| logLikeMle.ReducedRankRegressions | Maximum likelihood for data. | 
| logLikeMleHelper | Help compute the MLE. | 
| logLikeMleHelper.ReducedRankRegressions | Help compute the MLE. | 
| MixtureModels | Linear collections of mixture models. | 
| mle | Maximum likelihood estimator. | 
| mle.BinomialMixtures | Maximum likelihood estimator. | 
| mle.FactorAnalyses | Maximum likelihood estimator. | 
| mle.GaussianMixtures | Maximum likelihood estimator. | 
| mle.LatentForests | Maximum likelihood estimator. | 
| mle.LCAs | Maximum likelihood estimator. | 
| parents | Parents of a model. | 
| parents.FactorAnalyses | Parents of a model. | 
| parents.LatentForests | Parents of a model. | 
| parents.MixtureModels | Parents of a model. | 
| parents.ReducedRankRegressions | Parents of a model. | 
| ReducedRankRegressions | Construct a poset of reduced rank regression models. | 
| sBIC | Compute the sBIC. | 
| setData | Set data for a model poset. | 
| setData.BinomialMixtures | Set data for the binomial mixture models. | 
| setData.FactorAnalyses | Set data for the factor analysis models. | 
| setData.GaussianMixtures | Set data for the gaussian mixture models. | 
| setData.LatentForests | Set data for the latent forest models. | 
| setData.LCAs | Set data for the LCA models. | 
| setData.ReducedRankRegressions | Set data for the reduced rank regression models. | 
| setPhi | Set phi parameter. | 
| setPhi.MixtureModels | Set phi parameter. |