Package: TestDataImputation 2.3
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 (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>).
Authors:
TestDataImputation_2.3.tar.gz
TestDataImputation_2.3.zip(r-4.5)TestDataImputation_2.3.zip(r-4.4)TestDataImputation_2.3.zip(r-4.3)
TestDataImputation_2.3.tgz(r-4.5-any)TestDataImputation_2.3.tgz(r-4.4-any)TestDataImputation_2.3.tgz(r-4.3-any)
TestDataImputation_2.3.tar.gz(r-4.5-noble)TestDataImputation_2.3.tar.gz(r-4.4-noble)
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TestDataImputation.pdf |TestDataImputation.html✨
TestDataImputation/json (API)
| # Install 'TestDataImputation' in R: |
| install.packages('TestDataImputation', repos = c('https://daiscode.r-universe.dev', 'https://cloud.r-project.org')) |
- test.data - Example test data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:fcdba13b0b. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 04 2025 |
| R-4.5-win | OK | Mar 04 2025 |
| R-4.5-mac | OK | Mar 04 2025 |
| R-4.5-linux | OK | Mar 04 2025 |
| R-4.4-win | OK | Mar 04 2025 |
| R-4.4-mac | OK | Mar 04 2025 |
| R-4.4-linux | OK | Mar 04 2025 |
| R-4.3-win | OK | Mar 04 2025 |
| R-4.3-mac | OK | Mar 04 2025 |
Exports:EMimputeImputeTestDataItemMeanListwiseLogisticRegmicePMMPersonMeanResponseFunTreatIncorrectTwoway
Dependencies:Ameliabackportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrfansiforcatsforeachforeigngenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6rbibutilsRcppRcppArmadilloRcppEigenRdpackreadrreformulasrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| EM Imputation | EMimpute |
| This main function imputes for missing responses using selected method | ImputeTestData |
| Item Mean (IM) Imputation | ItemMean |
| Listwise Deletion (LW) | Listwise |
| Logistic Regression (LR) Imputation | LogisticReg |
| Predictive mean matching (PMM) | micePMM |
| Person Mean Imputation (PM) | PersonMean |
| Response Function Imputation (RF) | ResponseFun |
| Example test data | test.data |
| Treat missing responses as incorrect (IN) | TreatIncorrect |
| Two-Way Imputation (TW) | Twoway |
