BinomialMixtures | Construct a poset of binomial mixture models. |
emMain | EM-algorithm for latent forests. |
emSteps | 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. |
getCovMat | Create a covariance matrix. |
getData | Return the set data. |
getDimension | Model dimension. |
getModelWithSupport | Get model with the given support. |
getNumFactorsForModel | Number of factors for a model. |
getNumLeaves | Get number of leaves. |
getNumModels | Number of models. |
getNumSamples | Number of samples in the set data. |
getNumVertices | Maximum number of vertices. |
getPhi | Get the phi parameter. |
getPrior | The prior on the models. |
getSamplingCovMat | Sampling covariance matrix. |
getSupport | Get support for a given model. |
getTopOrder | 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 |
logLike | Multivariate gaussian log-likelihood. |
logLikeMle | Maximum likelihood for data. |
logLikeMleHelper | Help compute the MLE. |
MixtureModels | Linear collections of mixture models. |
mle | Maximum likelihood estimator. |
parents | Parents of a model. |
ReducedRankRegressions | Construct a poset of reduced rank regression models. |
sBIC | Compute the sBIC. |
sBIC-package | sBIC package documentation. |
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. |
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