R: Estimation of Tree-Based Item Response Models

# Estimation of Tree-Based Item Response Models

## Documentation for package ‘irtrees’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

irtrees-package | Estimation of Tree-Based Item Response Models
dendrify | Measurement Mapping for an IRTree Model
exogenize | Structural Mapping for an IRTree Model
graph2mx | Convert a tree to a mapping matrix
irtrees | Estimation of Tree-Based Item Response Models
linlat | Example Data: Sequential-Order Latent Variable Models
linresp | Example Data: Linear Hierarchical Categories
LtoL_multi.tree | Long-to-long, multiple trees
LtoL_single.tree | Long-to-long, single tree
LtoW_multi.tree | Long-to-wide, multiple trees
LtoW_single.tree | Long-to-wide, single tree
neslat | Example Data: Nested Hierarchical Categories
nesresp | Example Data: Nested Hierarchical Latent Variables
tolong | Convert a wide-format matrix to long format
VerbAgg2 | Verbal Aggression Data, Dichotomized Items
VerbAgg3 | Verbal Aggression Data, Three-Category Items
WtoL_multi.tree | Wide-to-long, multiple trees
WtoL_single.tree | Wide-to-long, one tree
WtoW_multi.tree | Wide-to-wide, multiple trees
WtoW_single.tree | Wide-to-wide, one tree