Package: DIFplus 1.1
DIFplus: Multilevel Mantel-Haenszel Statistics for Differential Item Functioning Detection
Clustered or multilevel data structures are common in the assessment of differential item functioning (DIF), particularly in the context of large-scale assessment programs. This package allows users to implement extensions of the Mantel-Haenszel DIF detection procedures in the presence of multilevel data based on the work of Begg (1999) <doi:10.1111/j.0006-341X.1999.00302.x>, Begg & Paykin (2001) <doi:10.1080/00949650108812115>, and French & Finch (2013) <doi:10.1177/0013164412472341>.
Authors:
DIFplus_1.1.tar.gz
DIFplus_1.1.zip(r-4.5)DIFplus_1.1.zip(r-4.4)DIFplus_1.1.zip(r-4.3)
DIFplus_1.1.tgz(r-4.4-any)DIFplus_1.1.tgz(r-4.3-any)
DIFplus_1.1.tar.gz(r-4.5-noble)DIFplus_1.1.tar.gz(r-4.4-noble)
DIFplus_1.1.tgz(r-4.4-emscripten)DIFplus_1.1.tgz(r-4.3-emscripten)
DIFplus.pdf |DIFplus.html✨
DIFplus/json (API)
# Install 'DIFplus' in R: |
install.packages('DIFplus', repos = c('https://daiscode.r-universe.dev', 'https://cloud.r-project.org')) |
- data.adult - Data Example
- data.adult.revised - Modified data.adult by removing all strata with zero marginal means.
- data.ordinal - Data Example
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:b89b5a988b. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win | OK | Nov 22 2024 |
R-4.5-linux | OK | Nov 22 2024 |
R-4.4-win | OK | Nov 22 2024 |
R-4.4-mac | OK | Nov 22 2024 |
R-4.3-win | OK | Nov 22 2024 |
R-4.3-mac | OK | Nov 22 2024 |
Exports:ContigencyTablesML.DIF
Dependencies:Ameliabackportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrfansiforcatsforeachforeigngenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigplyrprettyunitsprogresspurrrR6RcppRcppArmadilloRcppEigenreadrrlangrpartshapestringistringrsurvivalTestDataImputationtibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Function to create contigency tables | ContigencyTables |
Data Example (binary) | data.adult |
Modified data.adult by removing all strata with zero marginal means. | data.adult.revised |
Data Example (Ordinal) | data.ordinal |
Main function to compute adjusted Mantel-Haenszel statistics | ML.DIF |