Recursive Partitioning for Graded Response Models
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Documentation for package ‘grmtree’ version 0.1.0
Help Pages
| discrpar_grmtree | Extract Discrimination Parameters from GRM Tree |
| fscores_grmtree | Compute Latent Factor Scores for Each Terminal Node in a GRM Tree |
| generate_node_scores_dataset | Generate Combined Dataset with Node Assignments and Factor Scores |
| grmforest | Fit a Forest of Graded Response Model Trees for Ensemble-Based DIF Detection |
| grmforest.control | Control Parameters for GRM Forest |
| grmtree | Fit a Graded Response Model Tree for Differential Item Functioning Detection |
| grmtree.control | Control Parameters for GRM Trees |
| grmtree_data | Medical Outcomes Study Social Support Survey (MOS-SS) Test Data |
| itempar_grmtree | Extract Item Parameters from GRM Tree |
| plot.grmtree | Plot Method for GRM Tree Objects |
| plot.varimp | Plot Variable Importance |
| print.grmforest | Print Method for GRM Forest |
| print.grmtree | Print Method for GRM Tree Objects |
| threshpar_grmtree | Extract Threshold Parameters from GRM Tree |
| varimp | Calculate Variable Importance for GRM Forest |