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: 1.1
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

Downloads:

Reference manual: TestDataImputation.pdf
Package source: TestDataImputation_1.1.tar.gz
Windows binaries: r-devel: TestDataImputation_1.1.zip, r-release: TestDataImputation_1.1.zip, r-oldrel: TestDataImputation_1.1.zip
macOS binaries: r-release: TestDataImputation_1.1.tgz, r-oldrel: TestDataImputation_1.1.tgz
Old sources: TestDataImputation archive

Reverse dependencies:

Reverse imports: DIFplus

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