eirm
Explanatory Item Response Modeling for Dichotomous and Polytomous Items
Analysis of dichotomous and polytomous response data using the explanatory item response modeling framework, as described in Bulut, Gorgun, & Yildirim-Erbasli (2021) <doi:10.3390/psych3030023>, 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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5 |
rolling linux/jammy R-4.5 | eirm_0.5.tar.gz |
70.0 KiB |
0.5 |
rolling linux/noble R-4.5 | eirm_0.5.tar.gz |
69.9 KiB |
0.5 |
rolling source/ R- | eirm_0.5.tar.gz |
35.7 KiB |
0.5 |
latest linux/jammy R-4.5 | eirm_0.5.tar.gz |
70.0 KiB |
0.5 |
latest linux/noble R-4.5 | eirm_0.5.tar.gz |
69.9 KiB |
0.5 |
latest source/ R- | eirm_0.5.tar.gz |
35.7 KiB |
0.5 |
2026-04-26 source/ R- | eirm_0.5.tar.gz |
35.7 KiB |
0.5 |
2026-04-23 source/ R- | eirm_0.5.tar.gz |
35.7 KiB |
0.5 |
2026-04-09 windows/windows R-4.5 | eirm_0.5.zip |
75.0 KiB |
0.5 |
2025-04-20 source/ R- | eirm_0.5.tar.gz |
35.7 KiB |