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Multidimensional item response theory in R.
Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm. 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 functioning and modeling item and person covariates.
Various examples and worked help files have been compiled using the
knitr
package to generate HTML output, and are available on
the package wiki. User
contributions are welcome!
It’s recommended to use the development version of this package since it is more likely to be up to date than the version on CRAN. To install this package from source:
Obtain recent gcc, g++, and gfortran compilers. Windows users can
install the Rtools suite
while Mac users will have to download the necessary tools from the
Xcode
suite and its related command line tools (found
within Xcode’s Preference Pane under Downloads/Components); most Linux
distributions should already have up to date compilers (or if not they
can be updated easily). Windows users should include the checkbox option
of installing Rtools to their path for easier command line
usage.
Install the devtools
package (if necessary). In R,
paste the following into the console:
install.packages('devtools')
devtools
package (requires version 1.4+) and
install from the Github source code.library('devtools')
install_github('philchalmers/mirt')
If the devtools
approach does not work on your system,
then you can download and install the repository directly.
Obtain recent gcc, g++, and gfortran compilers (see above instructions).
Install the git command line tools.
Open a terminal/command-line tool. The following code will download the repository code to your computer, and install the package directly using R tools (Windows users may also have to add R and git to their path)
git clone https://github.com/philchalmers/mirt
R CMD INSTALL mirt
In some reported cases XCode
does not install the
appropriate gfortran
compilers in the correct location,
therefore they have to be installed manually instead. This is
accomplished by inputing the following instructions into the
terminal:
curl -O http://r.research.att.com/libs/gfortran-4.8.2-darwin13.tar.bz2
sudo tar fvxz gfortran-4.8.2-darwin13.tar.bz2 -C /
This package is free and open source software, licensed under GPL (>= 3).
Bug reports are always welcome and the preferred way to address these bugs is through the Github ‘issues’. Feel free to submit issues or feature requests on the site, and I’ll address them ASAP. Also, if you have any questions about the package, or IRT in general, then feel free to create a ‘New Topic’ in the mirt-package Google group. Cheers!
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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