write_mirt_input

Object of class <code>irtree_model</code>. See <a rd-options="" href="/link/irtree_model?package=ItemResponseTrees&version=0.2.5" data-mini-rdoc="ItemResponseTrees::irtree_model">irtree_model</a> for more
information.

object

Data frame containing containing one row per respondent and one
column per variable. The variable names must correspond to those used in
<code>object</code>.

data

This is an internal function used by <code><a rd-options="=irtree_fit_mirt" href="/link/irtree_fit_mirt()?package=ItemResponseTrees&version=0.2.5&to=%3Dirtree_fit_mirt" data-mini-rdoc="=irtree_fit_mirt::irtree_fit_mirt()">irtree_fit_mirt()</a></code>. It receives its
inputs from the model object and the data set and returns a
<a rd-options="mirt:mirt.model" href="/link/mirt%3A%3Amirt.model?package=ItemResponseTrees&version=0.2.5&to=mirt%3Amirt.model" data-mini-rdoc="mirt:mirt.model::mirt::mirt.model">mirt::mirt.model</a> object.

internal

Item response tree (IR-tree) models are a class of item response
theory (IRT) models that assume that the responses to polytomous items can
best be explained by multiple psychological processes; see B<c3><b6>ckenholt
(2012) <doi:10.1037/a0028111> for details. The package
'ItemResponseTrees' allows to fit such IR-tree models in 'mirt', 'Mplus', or
'TAM'. The package automates some of the hassle of IR-tree modeling by means
of a consistent syntax. This allows new users to quickly adopt this model
class, and this allows experienced users to fit many complex models
effortlessly.

Hansj<c3><b6>rg Plieninger

ItemResponseTrees

IR-Tree Modeling in 'mirt', 'Mplus', or 'TAM'

write_mirt_input function

Object of class <code>irtree_model</code>. See <a rd-options='' href='irtree_model'>irtree_model</a> for more
information.

This is an internal function used by <code><a rd-options='=irtree_fit_mirt' href='irtree_fit_mirt()'>irtree_fit_mirt()</a></code>. It receives its
inputs from the model object and the data set and returns a
<a rd-options='mirt:mirt.model' href='mirt::mirt.model'>mirt::mirt.model</a> object.

write_mirt_input: Prepare a mirt model

Description

Usage

Arguments

Value