Probabilistic Regression Trees
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Documentation for package ‘PRTree’ version 1.1.0
Help Pages
| expand_sigma_grid | Create a grid of sigma vectors for Probabilistic Regression Trees |
| plot.prtree | Plot method for PRTree objects |
| plot.prtree.cv | Plot method for PRTree Cross-Validation objects |
| plot_tree | Plot a PRTree as a dendrogram with gamma and P distributions |
| predict.prtree | Predict from a Probabilistic Regression Tree Model |
| print.idx.split | Print method for idx.split objects |
| print.prtree | Print method for PRTree objects |
| print.prtree.control | Print method for PRTree control objects |
| print.prtree.control_cv | Print method for PRTree control objects |
| print.prtree.cv | Print method for PRTree Cross-Validation objects |
| print.sigma_grid | Print method for sigma grid objects |
| print.summary.idx.split | Print method for summary of 'idx.split' objects |
| print.summary.prtree | Print method for summary of PRTree objects |
| print.summary.prtree.cv | Print method for summary of PRTree Cross-Validation objects |
| pr_tree | Probabilistic Regression Trees (PRTrees) |
| pr_tree_control | Control parameters for PRTree |
| pr_tree_control_cv | Control parameters for PRTree with optional cross-validation |
| pr_tree_cv | Cross-Validation for Probabilistic Regression Trees |
| summary.idx.split | Summary method for 'idx.split' objects |
| summary.prtree | Summary method for PRTree objects |
| summary.prtree.cv | Summary method for PRTree Cross-Validation objects |
| train_test_split | Split data into training and testing sets |