cogmod: Cognitive Models for Subjective Scales and Decision Making Tasks
Abstract
Cognitive Models for Subjective Scales and Decision Making TasksVersion 0.3.0Description Implements cognitive models for data from subjective (Likert or analog) scales and from decision making tasks with reaction times and choice data.Provides random generation, density functions, and custom response distributions for Bayesian estimation with 'brms', covering discreted-beta, ordered beta and choice-confidence models for subjective ratings, reaction-times families (Shifted Log-Normal, Shifted Wald), as well as sequential sampling models including the drift diffusion model (DDM), the racing diffusion model (RDM), the lognormal race model (LNR), and linear ballistic accumulator (LBA) model.The website provides examples and tutorials for using and interpreting the models.Methods are described in Ratcliff and McKoon (2008)
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