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:Christof Neumann [aut, cre]

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EloSteepness/json (API)

# Install 'EloSteepness' in R:
install.packages('EloSteepness', repos = c('https://gobbios.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/gobbios/elosteepness/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

3.70 score 7 scripts 203 downloads 14 exports 69 dependencies

Last updated 1 years agofrom:285ca0ade7. Checks:OK: 2 NOTE: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-win-x86_64NOTEOct 26 2024
R-4.5-linux-x86_64OKOct 26 2024
R-4.4-win-x86_64NOTEOct 26 2024
R-4.4-mac-x86_64NOTEOct 26 2024
R-4.4-mac-aarch64NOTEOct 26 2024
R-4.3-win-x86_64NOTEOct 26 2024
R-4.3-mac-x86_64NOTEOct 26 2024
R-4.3-mac-aarch64NOTEOct 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

EloSteepness - a brief tutorial

Rendered fromtutorial.Rmdusingknitr::rmarkdownon Oct 26 2024.

Last update: 2023-09-20
Started: 2022-01-21