Package: NormData 1.1
NormData: Derivation of Regression-Based Normative Data
Normative data are often used to estimate the relative position of a raw test score in the population. This package allows for deriving regression-based normative data. It includes functions that enable the fitting of regression models for the mean and residual (or variance) structures, test the model assumptions, derive the normative data in the form of normative tables or automatic scoring sheets, and estimate confidence intervals for the norms. This package accompanies the book Van der Elst, W. (2024). Regression-based normative data for psychological assessment. A hands-on approach using R. Springer Nature.
Authors:
NormData_1.1.tar.gz
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NormData_1.1.tgz(r-4.4-any)NormData_1.1.tgz(r-4.3-any)
NormData_1.1.tar.gz(r-4.5-noble)NormData_1.1.tar.gz(r-4.4-noble)
NormData_1.1.tgz(r-4.4-emscripten)NormData_1.1.tgz(r-4.3-emscripten)
NormData.pdf |NormData.html✨
NormData/json (API)
NEWS
# Install 'NormData' in R: |
install.packages('NormData', repos = c('https://wimvde001.r-universe.dev', 'https://cloud.r-project.org')) |
- Fluency - Verbal fluency data
- GCSE - GCSE exam score
- Personality - Data of the Openness scale of a personality test
- STAS - State-Trait Anger Scale
- Substitution - Substitution test data
- TMAS - TMAS data
- VLT - Verbal Learning Test data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:740243e4e9. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win | OK | Nov 12 2024 |
R-4.5-linux | OK | Nov 12 2024 |
R-4.4-win | OK | Nov 12 2024 |
R-4.4-mac | OK | Nov 12 2024 |
R-4.3-win | OK | Nov 12 2024 |
R-4.3-mac | OK | Nov 12 2024 |
Exports:Bootstrap.Stage.2.NormScoreBootstrap.Stage.2.NormTableCheck.AssumCheckFitCodingDensitiesExploreDataFract.PolyGLTICCLevelsplot.Bootstrap.Stage.2.NormScoreplot.CheckFitplot.ExploreDataplot.ICCPlot.Scatterplot.Matrixplot.Stage.1plot.Stage.2.NormScoreplot.Tukey.HSDPlotFittedPolySandwichStage.1Stage.2.AutoScoreStage.2.NormScoreStage.2.NormTablesummary.Bootstrap.Stage.2.NormScoresummary.CheckFitsummary.ExploreDatasummary.GLTsummary.ICCsummary.Sandwichsummary.Stage.1summary.Stage.2.NormScoresummary.Stage.2.NormTablesummary.Tukey.HSDTukey.HSDWriteNormTable
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivopenxlsxpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangsandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzipzoo