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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# neuroUp <a href="https://eduardklap.github.io/neuroUp/"><img src="man/figures/logo.png" align="right" height="139" alt="neuroUp website" /></a>
<!-- badges: start -->
[![CRAN status](https://www.r-pkg.org/badges/version/neuroUp)](https://CRAN.R-project.org/package=neuroUp)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.11526169.svg)](https://doi.org/10.5281/zenodo.11526169)
[![R-CMD-check](https://github.com/eduardklap/neuroUp/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/eduardklap/neuroUp/actions/workflows/R-CMD-check.yaml)
[![Codecov test coverage](https://codecov.io/gh/eduardklap/neuroUp/branch/main/graph/badge.svg)](https://app.codecov.io/gh/eduardklap/neuroUp?branch=main)
[![FAIR checklist badge](https://fairsoftwarechecklist.net/badge.svg)](https://fairsoftwarechecklist.net/v0.2?f=31&a=32113&i=32220&r=133)
<!-- badges: end -->
## 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:
```r
install.packages("neuroUp")
```
Or you can install the latest development version of neuroUp from [GitHub](https://github.com/) with:
``` r
install.packages("devtools")
devtools::install_github("eduardklap/neuroUp")
```
Then run the following to get started:
```r
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