[aut,
cre]Analysis of dichotomous and polytomous response data using the explanatory item response modeling framework, as described in Stanke & Bulut (2019) <doi:10.21449/ijate.515085> and De Boeck & Wilson (2004) <doi:10.1007/978-1-4757-3990-9>. Generalized linear mixed modeling is used for estimating the effects of item-related and person-related variables on dichotomous and polytomous item responses.
| Version: | 0.2.0 |
| Depends: | lme4, reshape2, optimx |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-10-27 |
| Author: | Okan Bulut [aut,
cre] |
| Maintainer: | Okan Bulut <bulut at ualberta.ca> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/okanbulut/eirm |
| NeedsCompilation: | no |
| CRAN checks: | eirm results |
| Reference manual: | eirm.pdf |
| Vignettes: |
Using eirm |
| Package source: | eirm_0.2.0.tar.gz |
| Windows binaries: | r-devel: eirm_0.2.0.zip, r-release: eirm_0.2.0.zip, r-oldrel: eirm_0.2.0.zip |
| macOS binaries: | r-release: eirm_0.2.0.tgz, r-oldrel: eirm_0.2.0.tgz |
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