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.zip(r-4.7-any)unifyR_1.0.0.zip(r-4.6-any)
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✨
DESCRIPTION
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 185 downloads 3 exports 0 dependencies

Last updated from:cd360d24cb. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK125
source / vignettesOK140
linux-releaseOK82
windows-develOK54
windows-releaseOK64
wasm-releaseOK85

Exports:uniReluniScoreuniVal

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
uniReluniRel
uniScoreuniScore
uniValuniVal