Package: dynConfiR 0.1.0

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. (2023; Preprint available at <https://osf.io/9jfqr/>, published version: <doi:10.1037/rev0000411>). Implemented models are the dynaViTE model, 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.

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

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dynConfiR.pdf |dynConfiR.html✨
dynConfiR/json (API)
NEWS

# Install 'dynConfiR' in R:
install.packages('dynConfiR', repos = c('https://sehellmann.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sehellmann/dynconfir/issues

Pkgdown site:https://sehellmann.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

5.47 score 3 stars 18 scripts 190 downloads 39 exports 22 dependencies

Last updated 12 days agofrom:3e5acb2a49. Checks:1 OK, 11 WARNING. Indexed: yes.

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Doc / VignettesOKMar 21 2025
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R-4.4-win-x86_64WARNINGMar 21 2025
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R-4.4-linux-x86_64WARNINGMar 21 2025
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R-4.3-mac-aarch64WARNINGMar 21 2025

Exports:CDFtoQuantilesd2DSDdDDConfddynaViTEdIRMdIRM2dIRM3dPCRMdWEVfitRTConffitRTConfModelsgroup_BMSgroup_BMS_fitsLogLikRMLogLikWEVMLE_dirichletPDFtoQuantilespredictConfpredictConfModelspredictDDConf_ConfpredictDDConf_RTpredictRM_ConfpredictRM_RTpredictRTpredictRTModelspredictWEV_ConfpredictWEV_RTr2DSDrDDConfrdynaViTErIRMrLCArPCRMrRM_KianirWEVsimulateRMsimulateRTConfsimulateWEVsubject_modelweights

Dependencies:clicrayondplyrfansigenericsgluehmslifecyclemagrittrminqapillarpkgconfigprettyunitsprogressR6Rcpprlangtibbletidyselectutf8vctrswithr

Fitting a dynamical confidence model to a data set

Sebastian Hellmann

Rendered fromdynConfiR.Rmdusingknitr::rmarkdownon Mar 21 2025.

Last update: 2024-04-18
Started: 2022-05-03

Readme and manuals

Help Manual

Help pageTopics
The dynConfiR PackagedynConfiR-package
Confidence and response time dataConfidenceOrientation
Pleskac and Busemeyer's 2DSD Model for Decision Confidence2DSD d2DSD r2DSD two-stage
Drift Diffusion Model with time-dependent confidenceDDConf dDDConf rDDConf
Dynamical visibility, time, and evidence model (dynaViTE) and Dynamical weighted evidence and visibility model (dynWEV)ddynaViTE ddynWEV dWEV dynaViTE dynWEV rdynaViTE rWEV WEVmodel
Function for fitting sequential sampling confidence modelsfitConf fitConfModel fitConfRT fitRTConf fitSeqSampConf
Function for fitting several sequential sampling confidence models in parallelfitRTConfModels
Log-Likelihood functions for the independent and partially anti-correlated race models of confidenceLLRM LogLikIRM LogLikPCRM LogLikRM
Log-Likelihood functions for the dynWEV and 2DSD models of confidenceLL2DSD LLdynWEV LLWEV LogLikdynWEV LogLikWEV LogLikWEV2DSD
Estimate the parameter of a Dirichlet distributionMLE_dirichlet
Get Quantiles from vectors of PDF or CDF valuesCDFtoQuantiles getquantiles getRTquantiles PDFtoQuantiles RTDensityToQuantiles
Prediction of Confidence Rating and Reaction Time Distribution in the drift diffusion confidence modelpredictDDConf predictDDConf_Conf predictDDConf_RT
Prediction of Confidence Rating and Reaction Time Distribution in race models of confidencepredictIRM predictPCRM predictRM predictRM_Conf predictRM_RT
Prediction of confidence rating and response time distribution for sequential sampling confidence modelspredictConf predictRT predictRTConf
Prediction of confidence and RT distributions for several sequential sampling confidence models and parameter constellations in parallelpredictConfModels predictRTConfModels predictRTModels
Prediction of Confidence Rating and Response Time Distribution in dynaViTE, dynWEV, and 2DSD confidence modelspredict2DSD predictdynWEV predictWEV predictWEV_Conf predictWEV_RT
Quantitative Model ComparisonBMS group_BMS group_BMS, group_BMS_fit, group_BMS_fits modelweights, QuantModelComparison subject_modelweights subject_modelweights,
Independent and partially anti-correlated Race Model for Decision ConfidencedIRM dIRM2 dIRM3 dPCRM dRM RaceModels racemodels rIRM rPCRM rRM
Simulation of confidence ratings and RTs in leaky competing accumulator modelrLCA simulateLCA
Simulation of confidence ratings and RTs in race confidence modelsrRM_Kiani simulateIRM simulatePCRM simulateRM
Simulation of confidence ratings and RTs in sequential sampling confidence modelsrConfModel simulateConfModel simulateRTConf
Simulation of confidence ratings and RTs in dynWEV and 2DSD confidence modelssimulate2DSD simulateWEV