heuristica: Heuristics Including Take the Best and Unit-Weight Linear

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>.

Version: 1.0.3
Depends: R (≥ 3.1.0)
Imports: Hmisc
Suggests: devtools, ggplot2, glmnet, knitr, plyr, reshape, reshape2, rmarkdown, testthat
Published: 2021-09-08
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

Documentation:

Reference manual: heuristica.pdf
Vignettes: README
Confusion Matrix
Comparing performance of simple heuristics
How to make your own heuristic
Reproducing Results

Downloads:

Package source: heuristica_1.0.3.tar.gz
Windows binaries: r-devel: heuristica_1.0.3.zip, r-release: heuristica_1.0.3.zip, r-oldrel: heuristica_1.0.3.zip
macOS binaries: r-release (arm64): heuristica_1.0.3.tgz, r-release (x86_64): heuristica_1.0.3.tgz, r-oldrel: heuristica_1.0.3.tgz
Old sources: heuristica archive

Linking:

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