grtools

grtools implements General Recognition Theory (GRT) analyses in R to evaluate multidimensional perceptual independence and interactions among perceptual dimensions.

Key Features:

• General Recognition Theory suite: Implements the full suite of GRT analytical methods for assessing perceptual independence and interactions across dimensions.
• Multidimensional modeling: Models perceptual spaces and decision behavior using GRT, the multidimensional extension of signal detection theory.
• Perceptual decision modeling: Enables representation and analysis of multiple perceptual dimensions to characterize how they jointly influence categorization and decisions.
• R package implementation: Provides programmatic execution of GRT analyses within the R environment.

Scientific Applications:

• Assessment of perceptual independence: Test whether different sensory or stimulus dimensions are processed independently or interactively.
• Analysis of categorization and perceptual data: Analyze behavioral data from experimental studies in perceptual science and cognitive psychology.
• Theoretical model development: Support development and evaluation of theoretical models of multidimensional perception in humans and other organisms.

Methodology:

Implements General Recognition Theory methodology, a multidimensional extension of signal detection theory, to model perceptual decision-making and evaluate independence or interaction among perceptual dimensions.