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neuroUp

Overview

The goal of neuroUp is to perform empirical sample size determination and Bayesian updating for region of interest based task-related fMRI studies. For a more elaborate introduction to the method, see our preprint:

Klapwijk, E. T., Jongerling, J., Hoijtink, H., & Crone, E. (2024, July 9). Sample size estimation for task-related functional MRI studies using Bayesian updating. https://doi.org/10.31234/osf.io/cz32t

Installation

Run the following in R:

install.packages("neuroUp")

Or you can install the latest development version of neuroUp from GitHub with:

install.packages("devtools")
devtools::install_github("eduardklap/neuroUp")

Then run the following to get started:

library(neuroUp)

Citation

To cite package neuroUp in publications use:

Klapwijk, E., Hoijtink, H., & Jongerling, J. (2024). neuroUp: Plan sample size for fMRI regions of interest research using Bayesian updating. https://doi.org/10.5281/zenodo.11526169

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Version

Install

install.packages('neuroUp')

Monthly Downloads

171

Version

0.3.1

License

MIT + file LICENSE

Issues

Pull Requests

Stars

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Maintainer

Eduard Klapwijk

Last Published

August 28th, 2024

Functions in neuroUp (0.3.1)

estim_corr

Estimate correlations
estim_diff

Estimate differences (unstandardized and Cohen's d)
feedback

Feedback task fMRI region of interest data
self_eval

Self-evaluations task fMRI region of interest data
%>%

Pipe operator
vicar_char

Vicarious Charity task fMRI region of interest data
gambling

Gambling task fMRI region of interest data