IlluminaMethylation     DNA Methylation Data for Normal Tissue Types
betaEst                 Beta Distribution Maximum Likelihood Estimator
betaEstMultiple         Beta Maximum Likelihood on a Matrix
betaObjf                Beta Maximum Likelihood Objective Function
blc                     Beta Latent Class Model
blcInitializeSplitDichotomizeUsingMean
                        Initialize Gaussian Latent Class via Mean
                        Dichotomization
blcInitializeSplitEigen
                        Initialize Gaussian Latent Class via
                        Eigendecomposition
blcInitializeSplitFanny
                        Initialize Beta Latent Class via Fanny
blcInitializeSplitHClust
                        Initialize Beta Latent Class via Hierarchical
                        Clustering
blcSplit                Beta Latent Class Splitter
blcSplitCriterionBIC    Beta RPMM Split Criterion: Use BIC
blcSplitCriterionBICICL
                        Beta RPMM Split Criterion: Use ICL-BIC
blcSplitCriterionJustRecordEverything
                        Beta RPMM Split Criterion: Always Split and
                        Record Everything
blcSplitCriterionLRT    Beta RPMM Split Criterion: use likelihood ratio
                        test p value
blcSplitCriterionLevelWtdBIC
                        Beta RPMM Split Criterion: Level-Weighted BIC
blcSubTree              Beta Subtree
blcTree                 Beta RPMM Tree
blcTreeApply            Recursive Apply Function for Beta RPMM Objects
blcTreeLeafClasses      Posterior Class Assignments for Beta RPMM
blcTreeLeafMatrix       Posterior Weight Matrix for Beta RPMM
blcTreeOverallBIC       Overall BIC for Entire RPMM Tree (Beta version)
ebayes                  Empirical Bayes predictions for a specific RPMM
                        model
gaussEstMultiple        Gaussian Maximum Likelihood on a Matrix
glc                     Gaussian Finite Mixture Model
glcInitializeSplitEigen
                        Initialize Gaussian Latent Class via
                        Eigendecomposition
glcInitializeSplitFanny
                        Initialize Gaussian Latent Class via Fanny
glcInitializeSplitHClust
                        Initialize Gaussian Latent Class via
                        Hierarchical Clustering
glcSplit                Gaussian Latent Class Splitter
glcSplitCriterionBIC    Gaussian RPMM Split Criterion: Use BIC
glcSplitCriterionBICICL
                        Gaussian RPMM Split Criterion: Use ICL-BIC
glcSplitCriterionJustRecordEverything
                        Gaussian RPMM Split Criterion: Always Split and
                        Record Everything
glcSplitCriterionLRT    Gaussian RPMM Split Criterion: Use likelihood
                        ratio test p value
glcSplitCriterionLevelWtdBIC
                        Gaussian RPMM Split Criterion: Level-Weighted
                        BIC
glcSubTree              Gaussian Subtree
glcTree                 Gaussian RPMM Tree
glcTreeApply            Recursive Apply Function for Gaussian RPMM
                        Objects
glcTreeLeafClasses      Posterior Class Assignments for Gaussian RPMM
glcTreeLeafMatrix       Posterior Weight Matrix for Gaussian RPMM
glcTreeOverallBIC       Overall BIC for Entire RPMM Tree (Gaussian
                        version)
glmLC                   Weighted GLM for latent class covariates
llikeRPMMObject         Data log-likelihood implied by a specific RPMM
                        model
plot.blcTree            Plot a Beta RPMM Tree Profile
plot.glcTree            Plot a Gaussian RPMM Tree Profile
plotImage.blcTree       Plot a Beta RPMM Tree Profile
plotImage.glcTree       Plot a Gaussian RPMM Tree Profile
plotTree.blcTree        Plot a Beta RPMM Tree Dendrogram
plotTree.glcTree        Plot a Gaussian RPMM Tree Dendrogram
predict.blcTree         Predict using a Beta RPMM object
predict.glcTree         Predict using a Gaussian RPMM object
print.blcTree           Print a Beta RPMM object
print.glcTree           Print a Gaussian RPMM object
