Package: TestDataImputation Type: Package Title: Missing Item Responses Imputation for Test and Assessment Data Version: 2.3 Date: 2021-10-18 Authors@R: c(person("Shenghai", "Dai", role = c("aut", "cre"), email = "s.dai@wsu.edu"), person("Xiaolin", "Wang", role = "aut"), person("Dubravka", "Svetina", role = "aut")) Author: Shenghai Dai [aut, cre], Xiaolin Wang [aut], Dubravka Svetina [aut] Maintainer: Shenghai Dai Description: 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 (see De Ayala et al. 2001 ), treating as incorrect (IN, see Lord, 1974 ; Mislevy & Wu, 1996 ; Pohl et al., 2014 ), person mean imputation (PM), item mean imputation (IM), two-way (TW) and response function (RF) imputation, (see Sijtsma & van der Ark, 2003 ), logistic regression (LR) imputation, predictive mean matching (PMM), and expectation–maximization (EM) imputation (see Finch, 2008 ). Depends: R (>= 3.4.0), stats, mice, Amelia Encoding: UTF-8 NeedsCompilation: no LazyData: true License: GPL (>= 2) RoxygenNote: 7.1.2 Packaged: 2026-06-15 08:22:10 UTC; root Config/pak/sysreqs: cmake make libicu-dev libx11-dev zlib1g-dev Repository: https://daiscode.r-universe.dev Date/Publication: 2021-10-18 17:10:11 UTC RemoteUrl: https://github.com/cran/TestDataImputation RemoteRef: HEAD RemoteSha: fcdba13b0b05d60612e7384fc306e1bdb2cccc32