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heuristica
View on CRAN: Click
here
Download and install heuristica package within the R console
Install from CRAN:
install.packages("heuristica")
Install from Github:
library("remotes")
install_github("cran/heuristica")
Install by package version:
library("remotes")
install_version("heuristica", "1.0.3")
Attach the package and use:
library("heuristica")
Maintained by
Jean Whitmore
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.heuristica . https://github.com/jeanimal/heuristica/issues . https://github.com/jeanimal/heuristica . heuristica results . heuristica.pdf . heuristica_1.0.3.tar.gz . heuristica_1.0.3.zip . heuristica_1.0.3.zip . heuristica_1.0.3.zip . heuristica_1.0.3.tgz . heuristica_1.0.3.tgz . heuristica_1.0.3.tgz . heuristica_1.0.3.tgz . heuristica_1.0.3.tgz . heuristica_1.0.3.tgz . heuristica archive . https://CRAN.R-project.org/package=heuristica .
First Published: 2016-06-18
Latest Update: 2021-09-08
Description:
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) . All
of these heuristics were run on many data sets and analyzed in:
Gigerenzer, G., Todd, P. M., & the ABC Group (1999).
.
How to cite:
Jean Whitmore (2016). heuristica: Heuristics Including Take the Best and Unit-Weight Linear. R package version 1.0.3, https://cran.r-project.org/web/packages/heuristica. Accessed 10 Apr. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for heuristica
Functions, R codes and Examples using
the heuristica R package
Some associated functions: accuracyFromConfusionMatrix3x3 . city_population . city_population_original . collapseConfusionMatrix3x3To2x2 . conditionalCueValidityComplete . confusionMatrixFor_Neg1_0_1 . correctGreater . createFunction.heuristics . createFunction . cueAccuracy . cueValidity . cueValidityAppliedToColumns . cueValidityComplete . distributeGuessAsExpectedValue . heuristics . heuristicsList . heuristicsProb . highschool_dropout . lmWrapper . logRegModel . minModel . oneRow . pairMatrix . percentCorrect . percentCorrectList . percentCorrectListNonSymmetric . percentCorrectListReturnMatrix . predictPair . predictPairInternal . predictPairProb . predictPairSummary . predictProbInternal . probGreater . regInterceptModel . regModel . reverseRowsAndReverseColumns . rowIndexes . rowPairApply . rowPairApply2Rows . rowPairApplyList . singleCueModel . statsFromConfusionMatrix . ttbGreedyModel . ttbModel . unitWeightModel . validityWeightModel . zzDocumentationStubFormulaModelParams . zzDocumentationStubModelParams . zzDocumentationStubReverseCues .
Some associated R codes: aggregators.R . cue_validity.R . data.R . heuristics.R . performance.R . row_pair_apply.R . row_pair_data.R . util.R . Full heuristica package functions and examples
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