BFDA

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An R package for Bayes Factor Design Analysis

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# BFDA Bayes factor design analysis

### Installation

The BFDA package is not on CRAN yet, but you can install the development
version from Github:

library(devtools)
    install_github("nicebread/BFDA", subdir="package")

For installations on Windows the package requires R version 3.3.1 or
higher.

## How to use the BFDA package?

### 1. Read our papers:

- Schönbrodt, F. D. & Wagenmakers, E.-J. (2018). Bayes Factor Design
  Analysis: Planning for compelling evidence. *Psychonomic Bulletin &
  Review*, 25, 128-142. <doi:10.3758/s13423-017-1230-y>.
  \[[PDF](https://osf.io/d4dcu)\]\[[OSF project with reproducible
  code](https://osf.io/v7yxp/)\]
- Stefan, A. M., Gronau, Q. F., Schönbrodt, F. D., & Wagenmakers, E.
  (2018). A Tutorial on Bayes Factor Design Analysis with Informed
  Priors. [PsyArXiv Preprint](https://doi.org/10.31234/osf.io/aqr79)

If you use this package to compute and report your design analysis,
please cite it as:

- Schönbrodt, F. D. & Stefan, A. M. (2019). BFDA: An R package for Bayes
  factor design analysis (version 0.5.0). Retrieved from
  <https://github.com/nicebread/BFDA>

### 2. Read the additional [manual](https://rawgit.com/nicebread/BFDA/master/package/doc/BFDA_manual.html).

<figure>
<img
src="https://github.com/nicebread/BFDA/blob/master/movies/GIF1/BFDA1.gif"
alt="Sequential Design" />
<figcaption aria-hidden="true">Sequential Design</figcaption>
</figure>

### 3. Look at published use cases of BFDA

We compile a (non-exhaustive) list of papers that user BFDA in practice:
[A list of published examples](BFDA_examples.md)

## Extending the BFDA package

If you want to implement a new test (e.g., a BFDA for regression or
ANOVAs): The BFDA package uses a rather modular system for creating new
tests. For new tests, you need to:

1.  Add a new file with 4 functions:

- `sample.function`
- `select.function`
- `BF.test.function`
- `freq.test.function`

Replace “function” with the test name, e.g.: sample.ANOVA etc.

2.  Add the new “type” (e.g., “ANOVA”) to the `print.BFDA` function in
    `R/1-Simulation.R`
3.  Add the new “type” (e.g., “ANOVA”) to the `BFDA.sanityCheck`
    function in `R/10-SanityChecks.R`
4.  Do a lot of testing!

Probably it is easiest to take one of the existing test implementations
(e.g., `R/t.between.R` or `R/correlation.R`) and replace the name and
the content of the functions.

If you implement a new test, please let us know. The preferred workflow
would be that you fork the Github project, implement the test, do a lot
of testing, and send us a pull request. If everything works as intended,
we can add the test to the main project.

BFDA

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