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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.
Version: | 1.1 |
Depends: | R (≥ 3.5.0) |
Imports: | car, doBy, MASS, lmtest, dplyr, sandwich, openxlsx, methods |
Published: | 2024-04-12 |
DOI: | 10.32614/CRAN.package.NormData |
Author: | Wim Van der Elst |
Maintainer: | Wim Van der Elst <Wim.vanderelst at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | NormData results |
Reference manual: | NormData.pdf |
Package source: | NormData_1.1.tar.gz |
Windows binaries: | r-devel: NormData_1.1.zip, r-release: NormData_1.1.zip, r-oldrel: NormData_1.1.zip |
macOS binaries: | r-release (arm64): NormData_1.1.tgz, r-oldrel (arm64): NormData_1.1.tgz, r-release (x86_64): NormData_1.1.tgz, r-oldrel (x86_64): NormData_1.1.tgz |
Old sources: | NormData archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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