Man pages for RPMM
Recursively Partitioned Mixture Model
| 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 |
| blcSplitCriterionLevelWtdBIC | Beta RPMM Split Criterion: Level-Weighted BIC |
| blcSplitCriterionLRT | Beta RPMM Split Criterion: use likelihood ratio test p value |
| 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... |
| glcSplitCriterionLevelWtdBIC | Gaussian RPMM Split Criterion: Level-Weighted BIC |
| glcSplitCriterionLRT | Gaussian RPMM Split Criterion: Use likelihood ratio test p... |
| 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 |
| IlluminaMethylation | DNA Methylation Data for Normal Tissue Types |
| 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 |
