Functions for imputing missing item responses for dichotomous and polytomous test and assessment data. This package enables missing imputation methods that are suitable for test and assessment data, including: listwise (LW) deletion, treating as incorrect (IN), person mean imputation (PM), item mean imputation (IM), two-way imputation (TW), logistic regression imputation (LR), and EM imputation.
| Version: | 1.0 |
| Depends: | R (≥ 3.2.5), mice, Amelia, stats |
| Published: | 2016-08-11 |
| Author: | Shenghai Dai [aut, cre], Xiaolin Wang [aut], Dubravka Svetina [aut] |
| Maintainer: | Shenghai Dai <dais at indiana.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | TestDataImputation results |
| Reference manual: | TestDataImputation.pdf |
| Package source: | TestDataImputation_1.0.tar.gz |
| Windows binaries: | r-devel: TestDataImputation_1.0.zip, r-release: TestDataImputation_1.0.zip, r-oldrel: TestDataImputation_1.0.zip |
| OS X Mavericks binaries: | r-release: TestDataImputation_1.0.tgz, r-oldrel: TestDataImputation_1.0.tgz |
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