predictProbInternal: Generic function to predict the probability row 1 has a...
In heuristica: Heuristics Including Take the Best and Unit-Weight Linear
Description
Usage
Arguments
Details
Value
Description
Do not call this directly (which is why it is called "internal").
Instead, call predictPairProb. Heuristics implement this function in order
to be callable with predictPairProb.
Usage
1
predictProbInternal(object, row1, row2)
Arguments
object
The object that implements predictPair, e.g. a ttb model.
row1
The first row of cues (object$cols_to_fit columns), as a
one-row matrix.
row2
The second row of cues.
Details
Most heuristics have not implemented this. Also, the output cannot (and
should not) be assessed with categorical measures like percent correct.
Value
A value from 0 to 1, representing the probability that row1's
criterion is greater than row2's criterion.
heuristica documentation built on Sept. 8, 2021, 9:08 a.m.
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Description Usage Arguments Details Value
Description
Do not call this directly (which is why it is called "internal"). Instead, call predictPairProb. Heuristics implement this function in order to be callable with predictPairProb.
Usage
1 | predictProbInternal(object, row1, row2)
|
Arguments
object |
The object that implements predictPair, e.g. a ttb model. |
row1 |
The first row of cues (object$cols_to_fit columns), as a one-row matrix. |
row2 |
The second row of cues. |
Details
Most heuristics have not implemented this. Also, the output cannot (and should not) be assessed with categorical measures like percent correct.
Value
A value from 0 to 1, representing the probability that row1's criterion is greater than row2's criterion.
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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