Depends: R (>= 3.4.0), mice, Amelia, stats

methods that are suitable for test and assessment data, including:
Pohl et al., 2014 <doi: 10.1177/0013164413504926>), person mean imputation (PM), item mean
imputation (IM), two-way imputation (TW, see Sijtsma & van der Ark, 2003 <doi: 10.1207/s15327906mbr3804_4>),
logistic regression imputation (LR), and expectation–maximization (EM)

item mean imputation (IM), two-way (TW) and response function (RF) imputation
logistic regression (LR) imputation, and expectation–maximization (EM)
Depends: R (>= 3.4.0), stats, mice, Amelia

item mean imputation (IM), two-way (TW) and response function (RF) imputation,
logistic regression (LR) imputation, predictive mean matching (PMM), and expectation–maximization (EM)

Title: Optimal Test Design Approach to Fixed and Adaptive Test
person("Seung W.", "Choi", email = "schoi@austin.utexas.edu", role = c("aut", "cre")),
person("Sangdon", "Lim", email = "sangdonlim@utexas.edu", role = "aut"))
Description: Use the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and
van der Linden (2018) <doi:10.1201/9781315117430> in constructing fixed and adaptive tests. Supports the following
mixed-integer programming (MIP) solver packages: 'Rsymphony', 'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package
is not available from CRAN; see <https://www.gurobi.com/downloads>. See vignette for installing 'Rsymphony' package
Imports: Rcpp (>= 1.0.0), methods, Matrix, lpSolve, foreach, logitnorm,
Suggests: gurobi, Rsymphony, Rglpk, shiny, shinythemes, shinyWidgets,
shinyjs, DT, knitr, rmarkdown, testthat (>= 2.1.0)
Collate: 'import.R' 'RcppExports.R' 'item_class.R' 'item_functions.R'

shinyjs, DT, knitr, rmarkdown, kableExtra, testthat (>= 2.1.0)

mixed-integer programming (MIP) solver packages: 'lpsymphony', 'Rsymphony', 'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package
Suggests: lpsymphony, Rsymphony, gurobi, Rglpk, shiny, shinythemes,
shinyWidgets, shinyjs, DT, knitr, rmarkdown, kableExtra,
Collate: 'RcppExports.R' 'import.R' 'item_class.R' 'item_functions.R'