splithalfr: Estimate Split-Half Reliabilities

Estimates split-half reliabilities for scoring algorithms of cognitive 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:	2.2.2
Depends:	R (≥ 3.6.0)
Imports:	dplyr (≥ 1.0.7), 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:	2023-09-14
Author:	Thomas Pronk [aut, cre]
Maintainer:	Thomas Pronk <pronkthomas at gmail.com>
BugReports:	https://github.com/tpronk/splithalfr/issues
License:	GPL-3
URL:	https://github.com/tpronk/splithalfr
NeedsCompilation:	no
Citation:	splithalfr citation info
Materials:	README
CRAN checks:	splithalfr results

Documentation:

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

Downloads:

Package source:	splithalfr_2.2.2.tar.gz
Windows binaries:	r-devel: splithalfr_2.2.2.zip, r-release: splithalfr_2.2.2.zip, r-oldrel: splithalfr_2.2.2.zip
macOS binaries:	r-release (arm64): splithalfr_2.2.2.tgz, r-oldrel (arm64): splithalfr_2.2.2.tgz, r-release (x86_64): splithalfr_2.2.2.tgz, r-oldrel (x86_64): splithalfr_2.2.2.tgz
Old sources:	splithalfr archive

Linking:

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