TestDataImputation: Missing Item Responses Imputation for Test and Assessment Data

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
In views: MissingData, Psychometrics
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 binaries: r-release: TestDataImputation_1.0.tgz, r-oldrel: TestDataImputation_1.0.tgz


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