R: Recursive Partitioning for Graded Response Models

# Recursive Partitioning for Graded Response Models

## Documentation for package ‘grmtree’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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