dynConfiR: Dynamic Models for Confidence and Response Time Distributions

Provides density functions for the joint distribution of choice, response time and confidence for discrete confidence judgments as well as functions for parameter fitting, prediction and simulation for various dynamical models of decision confidence. All models are explained in detail by Hellmann et al. (preprint; <https://osf.io/9jfqr/>). Implemented models are the dynWEV model, the 2DSD model (Pleskac & Busemeyer, 2010, <doi:10.1037/a0019737>), and various race models. C++ code for dynWEV and 2DSD is based on the 'rtdists' package by Henrik Singmann.

Version: 0.0.2
Depends: R (≥ 4.0)
Imports: dplyr, magrittr, minqa, parallel, progress, Rcpp, rlang, stats
LinkingTo: Rcpp
Suggests: ggplot2, Hmisc, knitr, logger, rmarkdown, testthat (≥ 3.0.0), tidyr
Published: 2022-12-07
Author: Sebastian Hellmann ORCID iD [aut, cre], Manuel Rausch ORCID iD [aut, fnd]
Maintainer: Sebastian Hellmann <sebastian.hellmann at ku.de>
BugReports: https://github.com/SeHellmann/dynConfiR
License: GPL (≥ 3)
URL: https://github.com/SeHellmann/dynConfiR
NeedsCompilation: yes
Materials: NEWS
CRAN checks: dynConfiR results


Reference manual: dynConfiR.pdf
Vignettes: Fitting a dynamical confidence model to a data set


Package source: dynConfiR_0.0.2.tar.gz
Windows binaries: r-devel: dynConfiR_0.0.2.zip, r-release: dynConfiR_0.0.2.zip, r-oldrel: dynConfiR_0.0.2.zip
macOS binaries: r-release (arm64): dynConfiR_0.0.2.tgz, r-oldrel (arm64): dynConfiR_0.0.2.tgz, r-release (x86_64): dynConfiR_0.0.1.tgz, r-oldrel (x86_64): dynConfiR_0.0.1.tgz
Old sources: dynConfiR archive


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