irtpwr
Power Analysis for IRT Models Using the Wald, LR, Score, and Gradient Statistics
Implementation of analytical and sampling-based power analyses for the Wald, likelihood ratio (LR), score, and gradient tests. Can be applied to item response theory (IRT) models that are fitted using marginal maximum likelihood estimation. The methods are described in our paper (Zimmer et al. (2022) <doi:10.1007/s11336-022-09883-5>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.3 |
rolling linux/jammy R-4.5 | irtpwr_1.0.3.tar.gz |
197.6 KiB |
1.0.3 |
rolling linux/noble R-4.5 | irtpwr_1.0.3.tar.gz |
197.4 KiB |
1.0.3 |
rolling source/ R- | irtpwr_1.0.3.tar.gz |
123.3 KiB |
1.0.3 |
latest linux/jammy R-4.5 | irtpwr_1.0.3.tar.gz |
197.6 KiB |
1.0.3 |
latest linux/noble R-4.5 | irtpwr_1.0.3.tar.gz |
197.4 KiB |
1.0.3 |
latest source/ R- | irtpwr_1.0.3.tar.gz |
123.3 KiB |
1.0.3 |
2026-04-26 source/ R- | irtpwr_1.0.3.tar.gz |
123.3 KiB |
1.0.3 |
2026-04-23 source/ R- | irtpwr_1.0.3.tar.gz |
123.3 KiB |
1.0.3 |
2026-04-09 windows/windows R-4.5 | irtpwr_1.0.3.zip |
206.7 KiB |
1.0.3 |
2025-04-20 source/ R- | irtpwr_1.0.3.tar.gz |
123.3 KiB |