neuroUp: Plan Sample Size for Task fMRI Research using Bayesian Updating

Calculate the precision in mean differences (raw or Cohen's D) and correlation coefficients for different sample sizes. Uses permutations of the collected functional magnetic resonance imaging (fMRI) region of interest data. Method described in Klapwijk, Jongerling, Hoijtink and Crone (2024) <doi:10.31234/osf.io/cz32t>.

Version: 0.3.1
Depends: R (≥ 2.10)
Imports: dplyr, rlang, ggplot2, psychometric, tibble, magrittr, bootstrap
Suggests: knitr, readr, rmarkdown, testthat (≥ 3.0.0), vdiffr
Published: 2024-08-28
DOI: 10.32614/CRAN.package.neuroUp
Author: Eduard Klapwijk ORCID iD [aut, cre, cph], Herbert Hoijtink ORCID iD [aut, cph], Joran Jongerling ORCID iD [aut, cph]
Maintainer: Eduard Klapwijk <et.klapwijk at gmail.com>
BugReports: https://github.com/eduardklap/neuroUp/issues
License: MIT + file LICENSE
URL: https://eduardklap.github.io/neuroUp/, https://github.com/eduardklap/neuroUp
NeedsCompilation: no
Citation: neuroUp citation info
Materials: README NEWS
CRAN checks: neuroUp results

Documentation:

Reference manual: neuroUp.pdf
Vignettes: Introduction to neuroUp (source, R code)

Downloads:

Package source: neuroUp_0.3.1.tar.gz
Windows binaries: r-devel: neuroUp_0.3.1.zip, r-release: neuroUp_0.3.1.zip, r-oldrel: neuroUp_0.3.1.zip
macOS binaries: r-release (arm64): neuroUp_0.3.1.tgz, r-oldrel (arm64): neuroUp_0.3.1.tgz, r-release (x86_64): neuroUp_0.3.1.tgz, r-oldrel (x86_64): neuroUp_0.3.1.tgz

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