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.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.1.0) |
| Imports: | Hmisc |
| Suggests: | devtools, ggplot2, glmnet, knitr, plyr, reshape, reshape2, rmarkdown, testthat |
| Published: | 2019-08-21 |
| Author: | Jean Whitmore [aut, cre], Daniel Barkoczi [aut] |
| Maintainer: | Jean Whitmore <jeanimal at gmail.com> |
| BugReports: | https://github.com/jeanimal/heuristica/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/jeanimal/heuristica |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | heuristica results |
| Reference manual: | heuristica.pdf |
| Vignettes: |
README Confusion Matrix Comparing performance of simple heuristics How to make your own heuristic Reproducing Results |
| Package source: | heuristica_1.0.2.tar.gz |
| Windows binaries: | r-devel: heuristica_1.0.2.zip, r-release: heuristica_1.0.2.zip, r-oldrel: heuristica_1.0.2.zip |
| macOS binaries: | r-release: heuristica_1.0.2.tgz, r-oldrel: heuristica_1.0.2.tgz |
| Old sources: | heuristica archive |
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