Package: unifyR 1.0.0

Dominik Weber

unifyR: Unified Scores, Reliabilities and Validities from Multiple Tests

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.

Authors:Dominik Weber [aut, cre], Marco Koch [aut], Frank M. Spinath [aut], Nicolas Becker [aut]

unifyR_1.0.0.tar.gz
unifyR_1.0.0.tar.gz(r-4.7-any)unifyR_1.0.0.tar.gz(r-4.6-any)
unifyR_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
unifyR/json (API)

# Install 'unifyR' in R:
install.packages('unifyR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 176 downloads 3 exports 0 dependencies

Last updated from:cd360d24cb. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK138
linux-release-x86_64OK100
wasm-releaseOK87

Exports:uniReluniScoreuniVal

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
uniReluniRel
uniScoreuniScore
uniValuniVal