This is the first official release of the grmtree
package, providing methods for fitting and analyzing graded response
model (GRM) trees and forests.
Introduced grmtree() for fitting tree-based graded
response models.
Added grmforest() for building forests of GRM
trees.
Implemented custom print() and plot()
methods for GRM tree/forest objects.
Enabled node-level GRM parameter extraction (thresholds, loadings, discrimination).
Added support for extracting and analyzing factor scores per terminal node.
Included helper functions for working with terminal nodes and fitted models.
Vignette walkthrough provided using a sample data.