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: |
0.0.1 |
| Depends: |
R (≥ 4.0) |
| Imports: |
stats, Rcpp, rtdists, dplyr, magrittr, rlang, logger, minqa, Hmisc, progress, parallel |
| LinkingTo: |
Rcpp |
| Suggests: |
tidyr, ggplot2, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2022-05-27 |
| Author: |
Sebastian Hellmann
 [aut, cre],
Manuel Rausch
[ctb, 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 |
Documentation:
Downloads:
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