| candisc | Canonical Discriminant Analysis |
| census2020 | Japanese Population Census Data 2020 令和2年度国勢調査データ |
| centropy | Impurity Measure Functions |
| cuttree_dt | Cut a Tree |
| cuttree_dt_JPH | 決定木の切断 |
| DecTree | Decision Tree |
| DecTree_JPH | 決定木の作成 |
| Divide | Divide a set of objects into two homogeneous sets |
| DivideM | Divide a set of objects into two homogeneous sets with resampling |
| entropy | Impurity Measure Functions |
| feature_imp_dt | Calculation of Feature Importance |
| gini | Impurity Measure Functions |
| gini_JPH | 不純度の指標の計算 |
| lazy.tree | lazy.tree: Some Decision Tree Functions for lazy boys and girls |
| lazy.tree_JPH | lazy.tree: Some Decision Tree Functions for lazy boys and girls |
| mis.match | Impurity Measure Functions |
| Mode | Mode of the Input Vector |
| node_info_dt | Display the Definition of the Node |
| node_info_dt_JPH | ノードの定義の表示 |
| plot2d_dt | Plot the Border Lines Calculated by the Decision Tree |
| plot_dt | Plot Decision Tree |
| predict_dt | Calculate the Predicted Values from the Regressor Matrix |
| predict_dt_JPH | 個体の分類 |
| print_hist_dt | Print Division History |
| print_leaf_dt | Print the Leaf Node Information |
| quantify_x | Quantification of a Categorical Regressor Variable |
| quantify_x_JPH | カテゴリカルな説明変数の数値化 |
| rect | Test Data for Decision Tree |
| simp_ineq | Simplify the Conjunction of Inequalities |
| square | Test Data for Classification Tree without Error |
| square2 | Test Data for Classification Tree without Error |
| square3 | Test Data for Classification Tree with Error |
| square306 | Test Data for Classification Tree without Error |
| summary_dt | Calculate Summary Statistics of a Decision Tree |
| summary_dt_JPH | 決定木の結果の要約 |
| treesim_dt | Similarity Index of Two Trees |
| treesim_dt_JPH | 決定木の類似度の指標の計算 |
| univar | Test Data for Univariate Regression Tree |
| variance | Impurity Measure Functions |