This repo contains code and documentation for performing Bayesian parameter estimation and model comparison with True and Error Models (TEMs). In decision making tasks, TEMs disentangle true preferences from random error when used in combination with the appropriate experimental design.
Birnbaum, M. H., & Quispe-Torreblanca, E. G. (2018). TEMAP2. R: True and error model analysis program in R. Judgment and Decision Making, 13(5), 428-440.
Lee, M. D. (2018). Bayesian methods for analyzing true-and-error models. Judgment and Decision Making, 13(6), 622-635.