Recursively Partitioned Mixture Model
Beta Distribution Maximum Likelihood Estimator
Beta Maximum Likelihood on a Matrix
Beta Maximum Likelihood Objective Function
Beta Latent Class Model
Initialize Gaussian Latent Class via Mean Dichotomization
Initialize Gaussian Latent Class via Eigendecomposition
Initialize Beta Latent Class via Fanny
Initialize Beta Latent Class via Hierarchical Clustering
Beta Latent Class Splitter
Beta RPMM Split Criterion: Use BIC
Beta RPMM Split Criterion: Use ICL-BIC
Beta RPMM Split Criterion: Always Split and Record Everything
Beta RPMM Split Criterion: Level-Weighted BIC
Beta RPMM Split Criterion: use likelihood ratio test p value
Beta Subtree
Beta RPMM Tree
Recursive Apply Function for Beta RPMM Objects
Posterior Class Assignments for Beta RPMM
Posterior Weight Matrix for Beta RPMM
Overall BIC for Entire RPMM Tree (Beta version)
Empirical Bayes predictions for a specific RPMM model
Gaussian Maximum Likelihood on a Matrix
Gaussian Finite Mixture Model
Initialize Gaussian Latent Class via Eigendecomposition
Initialize Gaussian Latent Class via Fanny
Initialize Gaussian Latent Class via Hierarchical Clustering
Gaussian Latent Class Splitter
Gaussian RPMM Split Criterion: Use BIC
Gaussian RPMM Split Criterion: Use ICL-BIC
Gaussian RPMM Split Criterion: Always Split and Record Everything
Gaussian RPMM Split Criterion: Level-Weighted BIC
Gaussian RPMM Split Criterion: Use likelihood ratio test p value
Gaussian Subtree
Gaussian RPMM Tree
Recursive Apply Function for Gaussian RPMM Objects
Posterior Class Assignments for Gaussian RPMM
Posterior Weight Matrix for Gaussian RPMM
Overall BIC for Entire RPMM Tree (Gaussian version)
Weighted GLM for latent class covariates
Data log-likelihood implied by a specific RPMM model
Plot a Beta RPMM Tree Profile
Plot a Gaussian RPMM Tree Profile
Plot a Beta RPMM Tree Profile
Plot a Gaussian RPMM Tree Profile
Plot a Beta RPMM Tree Dendrogram
Plot a Gaussian RPMM Tree Dendrogram
Predict using a Beta RPMM object
Predict using a Gaussian RPMM object
Print a Beta RPMM object
Print a Gaussian RPMM object
Recursively Partitioned Mixture Model for Beta and Gaussian Mixtures. This is a model-based clustering algorithm that returns a hierarchy of classes, similar to hierarchical clustering, but also similar to finite mixture models.