cueValidityAppliedToColumns

The matrix or data.frame whose columns are treated as cues.

data

The index of the column used as criterion.

criterion_col

A vector of indexes of the columns to calculate cue
validity for.

cols_to_fit

The value to return as cue validity in case it
cannot be calculated.

replaceNanWith

This returns only the cue validities, without reversing when a cue
points in the wrong direction-- e.g. education is negatively associated
with number of felonies, so we should use LESS education as a predictor.
Use cueValidityComplete for help with that.

Implements various heuristics like Take The Best and
unit-weight linear, which do two-alternative choice: which of
two objects will have a higher criterion? Also offers functions
to assess performance, e.g. percent correct across all row pairs
in a data set and finding row pairs where models disagree.
New models can be added by implementing a fit and predict function--
see vignette. Take The Best was first described in: Gigerenzer, G.
& Goldstein, D. G. (1996) <doi:10.1037/0033-295X.103.4.650>. All
of these heuristics were run on many data sets and analyzed in:
Gigerenzer, G., Todd, P. M., & the ABC Group (1999).
<ISBN:978-0195143812>.

cueValidityAppliedToColumns: Calculate the cue validity for the cols_to_fit columns.

Description

Usage

Arguments

Value

References

See Also