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An R package implementing computational models of Eriksen flanker task performance.

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# flankr v1.2.0 <a><img src='images/logo.png' align="right" height="250"/></a>

[![](http://www.r-pkg.org/badges/version/flankr)](https://CRAN.R-project.org/package=flankr)
[![](http://cranlogs.r-pkg.org/badges/grand-total/flankr)](https://CRAN.R-project.org/package=lankr)

$\texttt{flankr}$ is an R package implementing computational models of
Eriksen flanker task performance. The package allows simulation of the
models as well as fitting the models to participant data. Additional
utility functions allow plotting of the best-fitting model parameters
against observed data, as well as providing Bayesian Information
Criterion values for model competition.

Current models implemented in $\texttt{flankr}$ are:

- The Shrinking Spotlight Model (SSP) of White et al. (2011)
- The Dual-Stage Two-Phase Model (DSTP) of Hübner et al. (2010)

## Installation

You can install the released version of flankr (v1.2.0) from
[CRAN](https://CRAN.R-project.org/package=flankr) with:

``` r
install.packages("flankr")
```

The development version (v1.2.0.9999) can be installed from
[GitHub](https://github.com/) with:

``` r
require(devtools)
devtools::install_github("JimGrange/flankr")
```

## User guide

Full details of how to use the package is available in the following
paper:

Grange, J.A. (2016). flankr: An R package for implementing computational
models of attentional selectivity. *Behavior Research Methods, 48,*
528–541.

- PDF Link:
  <https://link.springer.com/article/10.3758/s13428-015-0615-y>

## Updates for version 1.2.0

- 50% further efficiency in DSTP simulation speed from version 1.1.0.
  (Users who have only ever installed the initial release 1.0.0 will
  notice *significantly larger* improvements.)
- 24% further efficiency in SSP simulation speed. (Users who have only
  ever installed the initial release 1.0.0 will notice *significantly
  larger* improvements.)
- **Please note** that the way random seeds are now handled in both
  $\texttt{simulateDSTP}$ and $\texttt{simulateSSP}$ is slightly
  different to that in version 1.0.0 (initial release) and version
  1.1.0. Therefore, there may be very slight differences between
  simulation data (and therefore potentially very slight differences in
  best-fitting parameter values) between versions.

## References

- Hübner, R., Steinhauser, M., & Lehle, C. (2010). A dual-stage
  two-phase model of selective attention. *Psychological Review,
  117(3)*, 759–784. <https://doi.org/10.1037/a0019471>
- White, C. N., Ratcliff, R., & Starns, J. S. (2011). Diffusion models
  of the flanker task: Discrete versus gradual attentional selection.
  *Cognitive Psychology, 63(4)*, 210–238.
  <https://doi.org/10.1016/j.cogpsych.2011.08.001>

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