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JoF
View on CRAN: Click
here
Download and install JoF package within the R console
Install from CRAN:
install.packages("JoF")
Install from Github:
library("remotes")
install_github("cran/JoF")
Install by package version:
library("remotes")
install_version("JoF", "0.1.0")
Attach the package and use:
library("JoF")
Maintained by
Markus Burkhardt
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-03
Latest Update: 2020-04-03
Description:
In a typical experiment for the intuitive judgment of frequencies (JoF) different stimuli with different frequencies are presented. The participants consider these stimuli with a constant duration and give a judgment of frequency. These judgments can be simulated by formal models: PASS 1 and PASS 2 based on Sedlmeier (2002, ISBN:978-0198508632), MINERVA 2 baesd on Hintzman (1984) and TODAM 2 based on Murdock, Smith & Bai (2001) . The package provides an assessment of the frequency by determining the core aspects of these four models (attention, decay, and presented frequency) that can be compared to empirical results.
How to cite:
Markus Burkhardt (2020). JoF: Modelling and Simulating Judgments of Frequency. R package version 0.1.0, https://cran.r-project.org/web/packages/JoF. Accessed 30 Jan. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for JoF
Functions, R codes and Examples using
the JoF R package
Some associated functions: MINERVA2 . PASS1 . PASS2 . TODAM2 . plot.JoF . print.JoF .
Some associated R codes: MINERVA2.R . PASS1.R . PASS2.R . TODAM2.R . herlper_fct.R . print_methods.R . Full JoF package functions and examples
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