predictPairProb: Predict the probability that row1 has a higher criterion than...
In heuristica: Heuristics Including Take the Best and Unit-Weight Linear

Description Usage Arguments Value See Also Examples

Given two rows and a fitted heuristic, returns the heuristic's predicted probability that row1's criterion will be greater than row2's.

1	predictPairProb(row1, row2, object)

`row1`	The first row of cues (will apply cols_to_fit for you, based on object).
`row2`	The second row (will apply cols_to_fit for you, based on object).
`object`	The fitted heuristic, e.g. a fitted ttbModel or logRegModel. (More technically, it's any object that implements predictProbInternal.)

A double from 0 to 1, representing the probability that row1's criterion is greater than row2's criterion. 0.5 could be a guess or tie.

rowPairApply to get predictions for all row pairs of a matrix or data.frame.

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train_matrix <- cbind(y=c(5,4), x1=c(1,0), x2=c(0,1))
lreg <- logRegModel(train_matrix, 1, c(2,3))
predictPairProb(oneRow(train_matrix, 1), oneRow(train_matrix, 2), lreg)