catRpillar: catRpillar: Functions for handling data from categorisation...
In egaudrain/catRpillar: Functions to Process Categorisation Data According to Different Approaches
Description
Signal Detection Theory
Choice Theory
FITA
Author(s)
Description
The catRpillar package provides functions to process categorisation data according to different approaches.
Signal Detection Theory
The dprime function returns sensitivity and criterion (bias) measures according to the Signal Detection Theory.
Choice Theory
The ChoiceTheory function return sensitivity and bias measures according to the Choice Theory.
FITA
The fita and confusion.matrix functions offer analysis tools according to the Feature Information Transmission Analysis approach.
Author(s)
Etienne Gaudrain, etienne.gaudrain@cnrs.fr
egaudrain/catRpillar documentation built on Dec. 20, 2021, 3:22 a.m.
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Description Signal Detection Theory Choice Theory FITA Author(s)
Description
The catRpillar package provides functions to process categorisation data according to different approaches.
Signal Detection Theory
The dprime function returns sensitivity and criterion (bias) measures according to the Signal Detection Theory.
Choice Theory
The ChoiceTheory function return sensitivity and bias measures according to the Choice Theory.
FITA
The fita and confusion.matrix functions offer analysis tools according to the Feature Information Transmission Analysis approach.
Author(s)
Etienne Gaudrain, etienne.gaudrain@cnrs.fr
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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