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DESCRIPTION

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Package: statConfR
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Type: Package
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Title: Models of Decision Confidence and Measures of Metacognition
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Version: 0.2.0
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Date: 2025-02-11
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Version: 0.2.1
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Date: 2025-02-22
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Authors@R: c(
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person("Manuel", "Rausch", email = "[email protected]",
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role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5805-5544")),

README.rmd

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The `statConfR` package provides functions to fit static models of
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decision-making and confidence derived from signal detection theory for
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binary discrimination tasks with confidence ratings on the data from individual subjects. Up to now, the following models have been included:
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binary discrimination tasks with confidence ratings on the data from individual subjects (Rausch et al., 2025). Up to now, the following models have been included:
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- signal detection rating model (Green & Swets, 1966),
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- Gaussian noise model (Maniscalco & Lau, 2016),
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- Palminteri, S., Wyart, V., & Koechlin, E. (2017). The importance of falsification in computational cognitive modeling. Trends in Cognitive Sciences, 21(6), 425–433. doi:10.1016/j.tics.2017.03.011
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- Rausch, M., Hellmann, S., & Zehetleitner, M. (2018). Confidence in masked orientation judgments is informed by both evidence and visibility. Attention, Perception, and Psychophysics, 80(1), 134–154. doi:10.3758/s13414-017-1431-5
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- Rausch, M., & Zehetleitner, M. (2017). Should metacognition be measured by logistic regression? Consciousness and Cognition, 49, 291–312. doi:10.1016/j.concog.2017.02.007
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- Rausch, M., Meyen, S. & Hellmann, S. (2025). statConfR: An R Package for Static Models of Decision Confidence and Metacognition. Journal of Open Source Software, 10(106), 6966. https://doi.org/10.21105/joss.06966
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- Shekhar, M., & Rahnev, D. (2021). The Nature of Metacognitive Inefficiency in Perceptual Decision Making. Psychological Review, 128(1), 45–70. doi:10.1037/rev0000249
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- Shekhar, M., & Rahnev, D. (2024). How Do Humans Give Confidence? A Comprehensive Comparison of Process Models of Perceptual Metacognition. Journal of Experimental Psychology: General, 153(3), 656–688. doi:10.1037/xge0001524
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