CRAN

mirt 1.30

Multidimensional Item Response Theory

Released Jan 29, 2019 by Phil Chalmers

Dependencies

mgcv 1.8-26 Deriv 3.8.5 lattice 0.20-38 dcurver 0.9.1 RcppArmadillo 0.9.200.7.0 Rcpp vegan 2.5-3 GPArotation 2014.11-1

Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm (Chalmers (2012) ). Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item and test functioning as well as modeling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, and several other discrete latent variable models, including mixture and zero-inflated response models, are supported.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>mirt</artifactId>
    <version>1.30-b1</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:mirt')

Test Results

This package was last tested against Renjin 0.9.2719 on Jan 31, 2019.

• traditional2mirt-examples

Source

View GitHub Mirror

Release History

• 1.30
• 1.29
• 1.28
• 1.27.1
• 1.26.3
• 1.26.1
• 1.25
• 1.24
• 1.23
• 1.22
• 1.21
• 1.20.1
• 1.18
• 1.17.1
• 1.16
• 1.15
• 1.14
• 1.13
• 1.10
• 1.9
• 1.8
• 1.7
• 1.6.1
• 1.5
• 1.4
• 1.3
• 1.2.1
• 1.2
• 1.1
• 1.0
• 0.9.0
• 0.8.0
• 0.7.0
• 0.6.0
• 0.5.0
• 0.4.2
• 0.4.1
• 0.4.0
• 0.3.0
• 0.2.6
• 0.2.5
• 0.2.4
• 0.2.3
• 0.2.1
• 0.2.0
• 0.1-20
• 0.1-19
• 0.1-18
• 0.1-17
• 0.1-16
• 0.1-15
• 0.1-14
• 0.1-13