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DESCRIPTION

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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 = "manuel.rausch@hochschule-rhein-waal.de",
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person("Manuel", "Rausch", email = "manuel.rausch@ku.de",
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role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5805-5544")),
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person("Sascha", "Meyen", email = "[email protected]",
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role = c("aut"), comment = c(ORCID = "0000-0001-6928-4126")),
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Description: Provides fitting functions and other tools for decision confidence
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and metacognition researchers, including meta-d'/d', often considered to be
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the gold standard to measure metacognitive efficiency, and information-theoretic measures of metacognition.
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Also allows to fit several static models of decision making and confidence.
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Also allows to fit and compare several static models of decision making and confidence.
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License: GPL(>=3)
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URL: https://github.com/ManuelRausch/StatConfR
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BugReports: https://github.com/ManuelRausch/StatConfR/issues

R/fitConf.R

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#' addition to the set of shared parameters.
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#' @author Sebastian Hellmann, \email{[email protected]}\cr
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#' Manuel Rausch, \email{manuel.rausch@hochschule-rhein-waal.de}
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#' Manuel Rausch, \email{manuel.rausch@ku.de}
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# unlike for the other tags, the references are formatted more nicely if each reference is tagged seperately
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#' @references Akaike, H. (1974). A New Look at the Statistical Model Identification. IEEE Transactions on Automatic Control, AC-19(6), 716–723.doi: 10.1007/978-1-4612-1694-0_16\cr

R/fitConfModels.R

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#' the models given in the second argument are fitted to each subset of `data`
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#' determined by the different values of this column)
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#' @param models `character`. The different computational models that should be
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#' fitted. Models implemented so far: 'WEV', 'SDT', 'GN', 'PDA', 'IG', 'ITGc',
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#' fitted. Models implemented so far: 'WEV', 'SDT', 'GN', 'PDA', 'IG', 'ITGc', 'RCE',
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#' 'ITGcm', 'logN', and 'logWEV'. Alternatively, if `model="all"` (default),
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#' all implemented models will be fit.
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#' @param nInits `integer`. Number of initial values used for maximum likelihood optimization.
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#' @author
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#' Sebastian Hellmann, \email{[email protected]}\cr
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#' Manuel Rausch, \email{manuel.rausch@hochschule-rhein-waal.de}
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#' Manuel Rausch, \email{manuel.rausch@ku.de}
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# unlike for the other tags, the references are formatted more nicely if each reference is tagged seperately
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#' @references Akaike, H. (1974). A New Look at the Statistical Model Identification. IEEE Transactions on Automatic Control, AC-19(6), 716–723.doi: 10.1007/978-1-4612-1694-0_16\cr

R/plotConfModelFit.R

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#' @importFrom Rmisc summarySEwithin
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#' @importFrom stats aggregate
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#' @author Manuel Rausch, \email{manuel.rausch@hochschule-rhein-waal.de}
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#' @author Manuel Rausch, \email{manuel.rausch@ku.de}
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#' @export
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plotConfModelFit <- function(data, fitted_pars, model = NULL){

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