[Face-research-list] grtools: Analyze perceptual independence using general recognition theory (a.k.a. multidimensional signal detection theory) in R

[Fabián Soto]

Dear colleagues,

We have developed a new R package, called grtools, that can be used to
analyze psychophysical data to determine the independence and separability
of perceptual dimensions. The analyses use general recognition theory (GRT;
a.k.a multidimensional signal detection theory) to test for perceptual
independence and separability while controlling for the influence of
decisional processes.

We designed the package to be easy to use for non-experts. Thus, full
analyses can be performed through only a couple of commands.

grtools provides functions for the following analyses:

1. Model-based analyses of separability and independence using the GRT-wIND
(GRT with INdividual Differences) model of identification data.

2. Model-based analyses of separability and independence using traditional
GRT models of identification data.

3. Summary statistics analyses (i.e., Kadlec's MSDA) of identification data.

4. Summary statistics analyses of data from the Garner filtering task.


For more information and instructions on how to install the package, please
visit the following page:

https://github.com/fsotoc/grtools

Best,


Fabian A. Soto
F. Gregory Ashby


-- 
Fabian A. Soto
Postdoctoral Researcher
Department of Psychological and Brain Sciences
University of California Santa Barbara
Santa Barbara, CA 93106
E-mail: fabian.soto at psych.ucsb.edu
Website: http://people.psych.ucsb.edu/soto/fabian/
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.stir.ac.uk/pipermail/face-research-list/attachments/20150319/644c9bd3/attachment.html>