cogmod: Cognitive Models for Subjective Scales and Decision Making Tasks
Implements cognitive models for data from subjective (Likert or
analog) scales and from decision making tasks with reaction times and
choice data. Provides random generation, density functions, and custom
response distributions for Bayesian estimation with 'brms', covering
discreted-beta, ordered beta and choice-confidence models for subjective ratings,
reaction-times families (Shifted Log-Normal, Shifted Wald), as well as
sequential sampling models including the drift diffusion model (DDM), the racing diffusion model (RDM),
the lognormal race model (LNR), and linear ballistic accumulator (LBA) model. The
website provides examples and tutorials for using and interpreting the models.
Methods are described in Ratcliff and McKoon (2008) <doi:10.1162/neco.2008.12-06-420>,
Brown and Heathcote (2008) <doi:10.1016/j.cogpsych.2007.12.002>, Rouder et al. (2015)
<doi:10.1007/s11336-013-9396-3>, Tillman et al. (2020) <doi:10.3758/s13423-020-01719-6>,
Kubinec (2023) <doi:10.1017/pan.2022.20>, and Sciandra et al. (2024)
<doi:10.1007/s10651-023-00592-5>.
| Version: |
0.3.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
brms, insight, stats |
| Suggests: |
testthat, cmdstanr, knitr, rmarkdown, loo, dplyr, ggplot2, ggrepel, easystats, datawizard, bayestestR, parameters, performance, modelbased, report, reformulas, lme4, RWiener, rtdists |
| Published: |
2026-09-12 |
| DOI: |
10.32614/CRAN.package.cogmod (may not be active yet) |
| Author: |
Dominique Makowski
 [aut, cre] |
| Maintainer: |
Dominique Makowski <D.Makowski at sussex.ac.uk> |
| BugReports: |
https://github.com/DominiqueMakowski/cogmod/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/DominiqueMakowski/cogmod,
https://dominiquemakowski.github.io/cogmod/ |
| NeedsCompilation: |
no |
| Additional_repositories: |
https://mc-stan.org/r-packages/ |
| Citation: |
cogmod citation info |
| Materials: |
NEWS |
| CRAN checks: |
cogmod results |
Documentation:
Downloads:
Linking:
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