Package: heuristica 1.0.3.9000
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>.
Authors:
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heuristica.pdf |heuristica.html✨
heuristica/json (API)
NEWS
| # Install 'heuristica' in R: |
| install.packages('heuristica', repos = c('https://jeanimal.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jeanimal/heuristica/issues
- city_population - Population size of the 83 largest German cities.
- city_population_original - Original, uncorrected Population size of the 83 largest German cities.
- highschool_dropout - Chicago high school dropout rates.
Last updated 10 months agofrom:441d5b9e4e. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | NOTE | Nov 16 2024 |
| R-4.5-linux | NOTE | Nov 16 2024 |
| R-4.4-win | NOTE | Nov 16 2024 |
| R-4.4-mac | NOTE | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:accuracyFromConfusionMatrix3x3collapseConfusionMatrix3x3To2x2conditionalCueValidityCompleteconfusionMatrixFor_Neg1_0_1correctGreatercreateFunctioncueAccuracycueValiditycueValidityAppliedToColumnscueValidityCompletedistributeGuessAsExpectedValueheuristicsheuristicsListheuristicsProblogRegModelminModeloneRowpercentCorrectpercentCorrectListpercentCorrectListNonSymmetricpercentCorrectListReturnMatrixpredictPairpredictPairInternalpredictPairProbpredictPairSummarypredictProbInternalprobGreaterregInterceptModelregModelreverseRowsAndReverseColumnsrowIndexesrowPairApplyrowPairApplyListsingleCueModelstatsFromConfusionMatrixttbGreedyModelttbModelunitWeightModelvalidityWeightModel
Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml
Comparing the performance of simple heuristics using the Heuristica R package
Rendered fromcross-validation.Rmdusingknitr::rmarkdownon Nov 16 2024.Last update: 2019-08-11
Started: 2015-08-25
Confusion Matrix
Rendered fromconfusion-matrix.Rmdusingknitr::rmarkdownon Nov 16 2024.Last update: 2021-08-23
Started: 2016-06-11
How to make your own heuristic
Rendered fromhow-to-make-heuristic.Rmdusingknitr::rmarkdownon Nov 16 2024.Last update: 2021-08-23
Started: 2016-01-08
README
Rendered fromREADME.Rmdusingknitr::rmarkdownon Nov 16 2024.Last update: 2021-08-23
Started: 2016-06-08
Reproducing Results
Rendered fromreproducing-results.Rmdusingknitr::rmarkdownon Nov 16 2024.Last update: 2021-08-23
Started: 2016-06-15
