Calculate running Elos for a series of multi-team matches.
elo.run.multiteam( formula, data, na.action, subset, k = NULL, initial.elos = NULL, ... )
A function which indicates what should happen when the data contain NAs.
An optional vector specifying a subset of observations.
A constant k-value (or a vector, where appropriate).
An optional named vector containing initial Elo ratings for all teams in
Other arguments (not used at this time).
This is like
elo.run (and in fact it runs
elo.run in the background).
The formula takes a
multiteam() object, which assumes that teams "win"
in a well-ordered ranking. It assumes that the first place team beats all other teams,
that the second place team loses to the first but beats the others, etc. In that regard,
elo.run.multiteam reduces to
elo.run when the number of teams (
ncol(multiteam())) is 2
However, this is less flexible than
elo.run, because (1) there cannot be ties; (2) it does not accept
adjustments; and (3) k is constant within a "game"