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statConfR
View on CRAN: Click
here
Download and install statConfR package within the R console
Install from CRAN:
install.packages("statConfR")
Install from Github:
library("remotes")
install_github("cran/statConfR") Install by package version:
library("remotes")
install_version("statConfR", "0.2.1") Attach the package and use:
library("statConfR")
Maintained by
Manuel Rausch
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-22
Latest Update: 2025-02-13
Description:
Provides fitting functions and other tools for decision confidence and metacognition researchers, including meta-d´/d´, often considered to be the gold standard to measure metacognitive efficiency. Also allows to fit several static models of decision making and confidence to test the assumptions underlying meta-d´/d´ and which may serve as an alternative when the assumptions of meta-d´/d´ do not hold. See also Rausch et al. (2023) <doi:10.31234/osf.io/kdz34>.
How to cite:
Manuel Rausch (2023). statConfR: Models of Decision Confidence and Measures of Metacognition. R package version 0.2.1, https://cran.r-project.org/web/packages/statConfR. Accessed 08 Oct. 2026.
Previous versions and publish date:
Other packages that cited statConfR R package
View statConfR citation profile
Other R packages that statConfR depends,
imports, suggests or enhances
Complete documentation for statConfR
Functions, R codes and Examples using
the statConfR R package
Some associated functions: MaskOri . fitConf . fitConfModels . fitMetaDprime .
Some associated R codes: MaskOri-data.R . fitConf.R . fitConfModels.R . fitMetaDprime.R . int_fit2Chan.R . int_fitCEV.R . int_fitITG.R . int_fitMetaDprime.R . int_fitNoisy.R . int_fitPDA.R . int_fitSDT.R . int_fitSDTvarS.R . int_ll2Chan.R . int_llCEV.R . int_llITG.R . int_llNoisy.R . int_llPDA.R . int_llSDT.R . int_llSDTvarS.R . int_rCEV.R . Full statConfR package functions and examples
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