Package: dynConfiR 1.1.2

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]

dynConfiR_1.1.2.tar.gz
dynConfiR_1.1.2.zip(r-4.7)dynConfiR_1.1.2.zip(r-4.6)dynConfiR_1.1.2.zip(r-4.5)
dynConfiR_1.1.2.tgz(r-4.6-x86_64)dynConfiR_1.1.2.tgz(r-4.6-arm64)dynConfiR_1.1.2.tgz(r-4.5-x86_64)dynConfiR_1.1.2.tgz(r-4.5-arm64)
dynConfiR_1.1.2.tar.gz(r-4.7-arm64)dynConfiR_1.1.2.tar.gz(r-4.7-x86_64)dynConfiR_1.1.2.tar.gz(r-4.6-arm64)dynConfiR_1.1.2.tar.gz(r-4.6-x86_64)
dynConfiR_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dynConfiR/json (API)

# 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/docs site:https://sehellmann.github.io

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

ConfidenceOrientation - Confidence and response time data

On CRAN:

cpp

5.61 score 4 stars 34 scripts 247 downloads 46 exports 21 dependencies

Last updated from:66c0f8ebfe. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	206
linux-devel-x86_64	OK	231
source / vignettes	OK	291
linux-release-arm64	OK	201
linux-release-x86_64	OK	201
macos-release-arm64	OK	138
macos-release-x86_64	OK	330
macos-oldrel-arm64	OK	178
macos-oldrel-x86_64	OK	322
windows-devel	OK	155
windows-release	OK	140
windows-oldrel	OK	180
wasm-release	OK	163

Exports:CDFtoQuantiles d2DSD dDDConf ddynaViTE dIRM dIRM2 dIRM3 dMTLNR dMTLNR_multiple_ratings dPCRM dWEV fitRTConf fitRTConfModels group_BMS group_BMS_fits LogLikMTLNR LogLikRM LogLikWEV MLE_dirichlet PDFtoQuantiles predictConf predictConfModels predictDDConf_Conf predictDDConf_RT predictMTLNR_Conf predictMTLNR_RT predictRM_Conf predictRM_RT predictRT predictRTModels predictWEV_Conf predictWEV_RT r2DSD rDDConf rdynaViTE rIRM rLCA rMTLNR rPCRM rRM_Kiani rWEV simulateMTLNR simulateRM simulateRTConf simulateWEV subject_modelweights

Dependencies:cli crayon dplyr generics glue hms lifecycle magrittr minqa pillar pkgconfig prettyunits progress R6 Rcpp rlang tibble tidyselect utf8 vctrs withr

Fitting a dynamical confidence model to a data set

Import Data | Call fitting function | Prediction | Visual comparison

Rendered fromdynConfiR.Rmdusingknitr::rmarkdown

Last update: 2025-04-04
Started: 2022-05-03

Help page	Topics
The dynConfiR Package	dynConfiR-package
Confidence and response time data	ConfidenceOrientation
Pleskac and Busemeyer's 2DSD Model for Decision Confidence	2DSD d2DSD r2DSD two-stage
Drift Diffusion Model with time-dependent confidence	DDConf 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 models	fitConf fitConfModel fitConfRT fitRTConf fitSeqSampConf
Function for fitting several sequential sampling confidence models in parallel	fitRTConfModels
Log-Likelihood functions for the mutliple-treshold log-normal race model	LLMTLNR LogLikMTLNR
Log-Likelihood functions for the independent and partially anti-correlated race models of confidence	LLRM LogLikIRM LogLikPCRM LogLikRM
Log-Likelihood functions for the dynWEV and 2DSD models of confidence	LL2DSD LLdynWEV LLWEV LogLikdynWEV LogLikWEV LogLikWEV2DSD
Estimate the parameter of a Dirichlet distribution	MLE_dirichlet
Correlated Multiple-threshold Log-normal Race Model for Decision Confidence	dMTLNR dMTLNR_multiple_ratings lognormalrace MTLNR rMTLNR
Get Quantiles from vectors of PDF or CDF values	CDFtoQuantiles getquantiles getRTquantiles PDFtoQuantiles RTDensityToQuantiles
Prediction of Confidence Rating and Reaction Time Distribution in the drift diffusion confidence model	predictDDConf predictDDConf_Conf predictDDConf_RT
Prediction of Confidence Rating and Reaction Time Distribution in the multiple-threshold log-normal noise race model	predictMTLNR predictMTLNR_Conf predictMTLNR_RT
Prediction of Confidence Rating and Reaction Time Distribution in race models of confidence	predictIRM predictPCRM predictRM predictRM_Conf predictRM_RT
Prediction of confidence rating and response time distribution for sequential sampling confidence models	predictConf predictRT predictRTConf
Prediction of confidence and RT distributions for several sequential sampling confidence models and parameter constellations in parallel	predictConfModels predictRTConfModels predictRTModels
Prediction of Confidence Rating and Response Time Distribution in dynaViTE, dynWEV, and 2DSD confidence models	predict2DSD predictdynWEV predictWEV predictWEV_Conf predictWEV_RT
Quantitative Model Comparison	BMS 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 Confidence	dIRM dIRM2 dIRM3 dPCRM dRM RaceModels racemodels rIRM rPCRM rRM
Simulation of confidence ratings and RTs in leaky competing accumulator model	rLCA simulateLCA
Simulation of confidence ratings and RTs in the Multiple-threshold Log-normal Race Model	simulateMTLNR
Simulation of confidence ratings and RTs in race confidence models	rRM_Kiani simulateIRM simulatePCRM simulateRM
Simulation of confidence ratings and RTs in sequential sampling confidence models	rConfModel simulateConfModel simulateRTConf
Simulation of confidence ratings and RTs in dynWEV and 2DSD confidence models	simulate2DSD simulateWEV

Package: dynConfiR 1.1.2

dynConfiR: Dynamic Models for Confidence and Response Time Distributions

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