Package: neuroUp 0.3.1

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>.

Authors:Eduard Klapwijk [aut, cre, cph], Herbert Hoijtink [aut, cph], Joran Jongerling [aut, cph]

neuroUp_0.3.1.tar.gz
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neuroUp.pdf |neuroUp.html
neuroUp/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/eduardklap/neuroup/issues

Datasets:
  • feedback - Feedback task fMRI region of interest data
  • gambling - Gambling task fMRI region of interest data
  • self_eval - Self-evaluations task fMRI region of interest data
  • vicar_char - Vicarious Charity task fMRI region of interest data

On CRAN:

5.00 score 2 stars 8 scripts 155 downloads 3 exports 35 dependencies

Last updated 2 months agofrom:1ac3283ef8. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winOKNov 21 2024
R-4.5-linuxOKNov 21 2024
R-4.4-winOKNov 21 2024
R-4.4-macOKNov 21 2024
R-4.3-winOKNov 21 2024
R-4.3-macOKNov 21 2024

Exports:%>%estim_correstim_diff

Dependencies:bootstrapclicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmultilevelmunsellnlmepillarpkgconfigpsychometricpurrrR6RColorBrewerrlangscalestibbletidyselectutf8vctrsviridisLitewithr

Introduction to neuroUp

Rendered fromneuroUp.Rmdusingknitr::rmarkdownon Nov 21 2024.

Last update: 2023-12-27
Started: 2023-11-16