splithalfr: Estimate Split-Half Reliabilities

Estimates split-half reliabilities for scoring algorithms of reaction time (RT) tasks and questionnaires. The 'splithalfr' supports researcher-provided scoring algorithms, with six vignettes illustrating how on included datasets. The package provides four splitting methods (first-second, odd-even, permutated, Monte Carlo), the option to stratify splits by task design, a number of reliability coefficients, and the option to sub-sample data.

Version: 2.1.0
Depends: R (≥ 3.6.0)
Imports: dplyr (≥ 0.8.1), tibble (≥ 2.1.1), psych (≥ 1.8.12), bcaboot (≥ 0.2.1), rlang (≥ 0.4.0)
Suggests: knitr (≥ 1.20), rmarkdown (≥ 1.10), testthat (≥ 2.1.0), MASS (≥ 7.3.51)
Published: 2021-03-15
Author: Thomas Pronk [aut, cre]
Maintainer: Thomas Pronk <pronkthomas at gmail.com>
License: GPL-3
URL: https://github.com/tpronk/splithalfr
NeedsCompilation: no
Materials: README
CRAN checks: splithalfr results

Downloads:

Reference manual: splithalfr.pdf
Vignettes: aat_double_diff_of_medians
gng_dprime
iat_dscore_ri
rapi_sum
splitting_methods
sst_ssrti
vpt_diff_of_means
Package source: splithalfr_2.1.0.tar.gz
Windows binaries: r-devel: splithalfr_2.1.0.zip, r-release: splithalfr_2.1.0.zip, r-oldrel: splithalfr_2.1.0.zip
macOS binaries: r-release (arm64): splithalfr_2.1.0.tgz, r-release (x86_64): splithalfr_2.1.0.tgz, r-oldrel: splithalfr_2.1.0.tgz
Old sources: splithalfr archive

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