grtools

Grtools is a software tool that is specifically designed to test for perceptual independence using General Recognition Theory (GRT) analysis. GRT is considered the best analytical tool to test for perceptual independence, as it is a multidimensional extension of signal detection theory. Perceptual science is an ever-growing field, and determining whether perceptual properties are processed independently is an important goal in this field. However, there is currently a lack of software tools implementing GRT analyses that are readily usable by experimental psychologists and neuroscientists who have little training in computational modeling.

The software aims to provide researchers with a simple and user-friendly tool to implement GRT analyses, allowing them to determine whether perceptual properties are processed independently. With Grtools, researchers can easily assess the relationship between different stimuli and responses, providing a more accurate understanding of the perceptual system.

Topic

Human biology;Psychiatry;Data visualisation

Detail

  • Operation: Statistical calculation

  • Software interface: Library

  • Language: R

  • License: GNU General Public License v2.0

  • Cost: Free

  • Version name: -

  • Credit: The U.S. Army Research Office through the Institute for Collaborative Biotechnologies, by NIH, the UCSB Open Access Fund Pilot Program.

  • Input: -

  • Output: -

  • Contact: fabian.soto@fiu.edu

  • Collection: -

  • Maturity: -

Publications

  • Testing Separability and Independence of Perceptual Dimensions with General Recognition Theory: A Tutorial and New R Package (
  • Soto FA, et al. Testing Separability and Independence of Perceptual Dimensions with General Recognition Theory: A Tutorial and New R Package (grtools). Testing Separability and Independence of Perceptual Dimensions with General Recognition Theory: A Tutorial and New R Package (grtools). 2017; 8:696. doi: 10.3389/fpsyg.2017.00696
  • https://doi.org/10.3389/fpsyg.2017.00696
  • PMID: 28588513
  • PMC: PMC5440596

Download and documentation


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