README.md
In egaudrain/catRpillar: Functions to Process Categorisation Data According to Different Approaches
catRpillar
A set of 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.
egaudrain/catRpillar documentation built on Dec. 20, 2021, 3:22 a.m.
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catRpillar
A set of functions to process categorisation data according to different approaches:
-
Signal Detection Theory: The
dprimefunction returns sensitivity and criterion (bias) measures according to the Signal Detection Theory. -
Choice Theory: The
ChoiceTheoryfunction return sensitivity and bias measures according to the Choice Theory. -
FITA: The
fitaandconfusion.matrixfunctions offer analysis tools according to the Feature Information Transmission Analysis approach.
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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