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.
|Author||Jean Whitmore [aut, cre], Daniel Barkoczi [aut]|
|Date of publication||2016-07-17 20:08:25|
|Maintainer||Jean Whitmore <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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