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 <s.dai@wsu.edu>
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 <doi:10.1111/j.1745-3984.2001.tb01124.x>), 
    treating as incorrect (IN, see Lord, 1974 <doi: 10.1111/j.1745-3984.1974.tb00996.x>; 
    Mislevy & Wu, 1996 <doi: 10.1002/j.2333-8504.1996.tb01708.x>; 
    Pohl et al., 2014 <doi: 10.1177/0013164413504926>), person mean imputation (PM), 
    item mean imputation (IM), two-way (TW) and response function (RF) imputation,
    (see Sijtsma & van der Ark, 2003 <doi: 10.1207/s15327906mbr3804_4>),
    logistic regression (LR) imputation, predictive mean matching (PMM), and expectation–maximization (EM) 
    imputation (see Finch, 2008 <doi: 10.1111/j.1745-3984.2008.00062.x>).
Depends: R (>= 3.4.0), stats, mice, Amelia
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
License: GPL (>= 2)
RoxygenNote: 7.1.2
Packaged: 2021-10-18 08:19:29 UTC; daish
Repository: CRAN
Date/Publication: 2021-10-18 18:10:11 UTC
Built: R 4.6.0; ; 2026-04-25 13:39:47 UTC; unix
