The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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; <doi:10.1111/jedm.12045>) for an overview of modeling alternatives.
Version: | 1.5-13 |
Depends: | R (≥ 3.0-0) |
Imports: | CDM, coda, graphics, methods, psychotools, Rcpp, sirt, stats, TAM |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | MASS |
Enhances: | eRm, lme4 |
Published: | 2024-03-21 |
DOI: | 10.32614/CRAN.package.immer |
Author: | Alexander Robitzsch [aut, cre], Jan Steinfeld [aut] |
Maintainer: | Alexander Robitzsch <robitzsch at ipn.uni-kiel.de> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/alexanderrobitzsch/immer, https://sites.google.com/site/alexanderrobitzsch2/software |
NeedsCompilation: | yes |
Citation: | immer citation info |
Materials: | README NEWS |
In views: | Psychometrics |
CRAN checks: | immer results |
Reference manual: | immer.pdf |
Package source: | immer_1.5-13.tar.gz |
Windows binaries: | r-devel: immer_1.5-13.zip, r-release: immer_1.5-13.zip, r-oldrel: immer_1.5-13.zip |
macOS binaries: | r-release (arm64): immer_1.5-13.tgz, r-oldrel (arm64): immer_1.5-13.tgz, r-release (x86_64): immer_1.5-13.tgz, r-oldrel (x86_64): immer_1.5-13.tgz |
Old sources: | immer archive |
Please use the canonical form https://CRAN.R-project.org/package=immer to link to this page.
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.
Health stats visible at Monitor.