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. (2023; Preprint available at < https://osf.io/9jfqr/>, published version: ). Implemented models are the dynaViTE model, dynWEV model, the 2DSD model (Pleskac & Busemeyer, 2010, ), and various race models. C++ code for dynWEV and 2DSD is based on the 'rtdists' package by Henrik Singmann.


Reference manual

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install.packages("dynConfiR")

1.1.1 by Sebastian Hellmann, a year ago


https://github.com/SeHellmann/dynConfiR, https://sehellmann.github.io/dynConfiR/


Report a bug at https://github.com/SeHellmann/dynConfiR/issues


Browse source code at https://github.com/cran/dynConfiR


Authors: Sebastian Hellmann [aut, cre] (ORCID: , Manuel Rausch [aut, fnd] (ORCID:


Documentation:   PDF Manual  


GPL (>= 3) license


Imports dplyr, magrittr, minqa, parallel, progress, Rcpp, rlang, stats

Suggests covr, ggplot2, MASS, Hmisc, knitr, logger, rmarkdown, testthat, tidyr

Linking to Rcpp


See at CRAN