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neuroUp  

Plan Sample Size for Task fMRI Research using Bayesian Updating
View on CRAN: Click here


Download and install neuroUp package within the R console
Install from CRAN:
install.packages("neuroUp")

Install from Github:
library("remotes")
install_github("cran/neuroUp")

Install by package version:
library("remotes")
install_version("neuroUp", "0.3.1")



Attach the package and use:
library("neuroUp")
Maintained by
Eduard Klapwijk
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-08-28
Latest Update: 2024-08-28
Description:
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>.
How to cite:
Eduard Klapwijk (2024). neuroUp: Plan Sample Size for Task fMRI Research using Bayesian Updating. R package version 0.3.1, https://cran.r-project.org/web/packages/neuroUp. Accessed 07 Aug. 2026.
Previous versions and publish date:
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Complete documentation for neuroUp
Functions, R codes and Examples using the neuroUp R package
Full neuroUp package functions and examples
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