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: | 1.1 |
| Depends: | R (≥ 3.4.0), mice, Amelia, stats |
| Published: | 2019-03-08 |
| Author: | Shenghai Dai [aut, cre], Xiaolin Wang [aut], Dubravka Svetina [aut] |
| Maintainer: | Shenghai Dai <s.dai at wsu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | MissingData, Psychometrics |
| CRAN checks: | TestDataImputation results |
| Reference manual: | TestDataImputation.pdf |
| Package source: | TestDataImputation_1.1.tar.gz |
| Windows binaries: | r-devel: TestDataImputation_1.1.zip, r-devel-gcc8: TestDataImputation_1.1.zip, r-release: TestDataImputation_1.1.zip, r-oldrel: TestDataImputation_1.1.zip |
| OS X binaries: | r-release: TestDataImputation_1.1.tgz, r-oldrel: TestDataImputation_1.1.tgz |
| Old sources: | TestDataImputation archive |
Please use the canonical form https://CRAN.R-project.org/package=TestDataImputation to link to this page.