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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
DOI:10.32614/CRAN.package.heuristica
Author:Jean Whitmore [aut, cre], Daniel Barkoczi [aut]
Maintainer:Jean Whitmore <jeanimal at gmail.com>
BugReports:https://github.com/jeanimal/heuristica/issues
License:MIT + fileLICENSE
URL:https://github.com/jeanimal/heuristica
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:heuristica results

Documentation:

Reference manual:heuristica.html ,heuristica.pdf
Vignettes:README (source,R code)
Confusion Matrix (source,R code)
Comparing performance of simple heuristics (source,R code)
How to make your own heuristic (source,R code)
Reproducing Results (source,R code)

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-oldrel (arm64):heuristica_1.0.3.tgz, r-release (x86_64):heuristica_1.0.3.tgz, r-oldrel (x86_64):heuristica_1.0.3.tgz
Old sources: heuristica archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=heuristicato link to this page.


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