mafc_test: Evaluate m-alternative forced choice test
In kachergis/XSLmodels: Run and optimize cross-situational word learning models
mafc_test R Documentation
Evaluate m-alternative forced choice test
Description
This function evaluates a given set of test trials using the provided model memory matrix
(word x referent). Each test trial is assumed to present one word and a set of referents
of size less than the width of the model memory matrix.
Usage
mafc_test(mperf, test)
Arguments
mperf
A matrix representing model memory with words as rows and referents as columns.
test
A list representing the test trials, each containing a word and its associated referents.
Value
A vector with the probability of choosing the correct object, given each word.
kachergis/XSLmodels documentation built on Feb. 25, 2024, 10:43 p.m.
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| mafc_test | R Documentation |
Evaluate m-alternative forced choice test
Description
This function evaluates a given set of test trials using the provided model memory matrix (word x referent). Each test trial is assumed to present one word and a set of referents of size less than the width of the model memory matrix.
Usage
mafc_test(mperf, test)
Arguments
mperf |
A matrix representing model memory with words as rows and referents as columns. |
test |
A list representing the test trials, each containing a word and its associated referents. |
Value
A vector with the probability of choosing the correct object, given each word.
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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