Package: EloSteepness 0.5.0
EloSteepness: Bayesian Dominance Hierarchy Steepness via Elo Rating and David's Scores
Obtain Bayesian posterior distributions of dominance hierarchy steepness (Neumann and Fischer (2023) <doi:10.1111/2041-210X.14021>). Steepness estimation is based on Bayesian implementations of either Elo-rating or David's scores.
Authors:
EloSteepness_0.5.0.tar.gz
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EloSteepness.pdf |EloSteepness.html✨
EloSteepness/json (API)
# Install 'EloSteepness' in R: |
install.packages('EloSteepness', repos = c('https://gobbios.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gobbios/elosteepness/issues
Last updated 1 years agofrom:285ca0ade7. Checks:OK: 2 NOTE: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-win-x86_64 | NOTE | Oct 26 2024 |
R-4.5-linux-x86_64 | OK | Oct 26 2024 |
R-4.4-win-x86_64 | NOTE | Oct 26 2024 |
R-4.4-mac-x86_64 | NOTE | Oct 26 2024 |
R-4.4-mac-aarch64 | NOTE | Oct 26 2024 |
R-4.3-win-x86_64 | NOTE | Oct 26 2024 |
R-4.3-mac-x86_64 | NOTE | Oct 26 2024 |
R-4.3-mac-aarch64 | NOTE | Oct 26 2024 |
Exports:catch_warningsdavids_steepnesselo_steepness_from_matrixelo_steepness_from_sequencegenerate_interaction_probsplot_scoresplot_steepnessplot_steepness_regressionremove_dyadsrepeatability_steepnessscoressimple_steep_gensteepness_precisupward_steepness
Dependencies:abindaniDombackportsBHbootcallrcheckmateclicodacolorspacedescdistributionalEloRatingfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecyclelme4loomagrittrMASSMatrixmatrixStatsmgcvminqamunsellnetworknlmenloptrnumDerivpbapplypillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackrlangrptRrstanrstantoolsscalessnaStanHeadersstatnet.commontensorAtibbleutf8vctrsviridisLitewithrzoo