prelims | data preparation | an example with Bayesian Elo-rating (and unknown sequence of interactions) | steepness | individual scores ('ranks') | combining steepness and individual scores | more on data density | a final example | a brief example with Bayesian Elo-rating (and known sequence of interactions) | steepness based on Bayesian David's scores | References

Preliminary remarks | Requirements and package installation | Data preparation | Using EloRating | Data checks | Elo-rating calculations | Extract Elo-ratings | Plotting Elo-ratings | Incorporating presence data and undecided interactions | Customizing Elo-rating with prior knowledge and optimization | Prior knowledge | Starting values | Adjusting k | Optimization | Optimizing k | Optimizing start values | More functions related to Elo-rating | Hierarchy stability with stab.elo() | Individual rating trajectories with traj.elo() | individuals() | winprob() | From sequence to matrix with creatematrix() | randomsequence() | From dominance matrix to sequence with randomelo() | Utilities | Proportion of unknown relationships with prunk() | David's scores and steepness | Directional consistency with DCindex() | Linearity, transitivity and ordinal ranks | Linearity with h.index() | Triangle transitivity (transitivity()) | Linear hierarchy with the I&SI algorithm (ISI()) | Custom plots of Elo-ratings | Further notes on the stability index | Appendix | References

introduction | a worked example | get the data into R | random data | calculating the ratings | reliability-index | background | application | how many raters?[^thanks] | an empirical example | self-contests