Implements some item response models for multiple
ratings, including the hierarchical rater model,
conditional maximum likelihood estimation of linear
logistic partial credit model and a wrapper function
to the commercial FACETS program. See Robitzsch and
Steinfeld (2018) for a description of the functionality
of the package.
See Wang, Su and Qiu (2014;
If you use immer and have suggestions for improvement or have found bugs, please email me at robitzsch@leibniz-ipn.de.
Please always provide a minimal dataset, necessary to demonstrate the problem,
a minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and
all necessary information on the used librarys, the R version, and the OS it is run on, perhaps a sessionInfo().
The manual may be found here https://alexanderrobitzsch.github.io/immer/
The official version of immer is hosted on CRAN and may be found here.
The CRAN version can be installed from within R using:
utils::install.packages("immer")
The version hosted here is the development version of immer.
The GitHub version can be installed using devtools as:
devtools::install_github("alexanderrobitzsch/immer")