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In diagnostic contexts, individuals are often assessed using multiple tests that measure the same latent variable (e.g., intelligence). These test scores are typically not exactly identical. Simple averaging neglects the correlation between tests and the reduced variance of their combination. The 'unifyR' package provides functions to compute statistically accurate unified scores, reliabilities and validities of multiple tests. The underlying algorithms build on and extend the method proposed by Evans (1996, <doi:10.3758/BF03204767>) and have been validated through simulations.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.2.0) |
| Published: | 2025-07-02 |
| DOI: | 10.32614/CRAN.package.unifyR |
| Author: | Dominik Weber [aut, cre], Marco Koch [aut], Frank M. Spinath [aut], Nicolas Becker [aut] |
| Maintainer: | Dominik Weber <dominik.weber at uni-saarland.de> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | unifyR results |
| Reference manual: | unifyR.pdf |
| Package source: | unifyR_1.0.0.tar.gz |
| Windows binaries: | r-devel: unifyR_1.0.0.zip, r-release: unifyR_1.0.0.zip, r-oldrel: unifyR_1.0.0.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): unifyR_1.0.0.tgz, r-oldrel (x86_64): unifyR_1.0.0.tgz |
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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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