Recursively Partitioned Mixture Model

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Documentation for package ‘RPMM’ version 1.25

• DESCRIPTION file.

Help Pages

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 Everything
glcSplitCriterionLevelWtdBIC	Gaussian RPMM Split Criterion: Level-Weighted BIC
glcSplitCriterionLRT	Gaussian RPMM Split Criterion: Use likelihood ratio test p value
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
IllumBeta	DNA Methylation Data for Normal Tissue Types
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
tissue	DNA Methylation Data for Normal Tissue Types