Three objects
skating, a log-likelihood function for the competitors'
strengths, skating_table, an order table for each of the 9
judges, and skating_maxp, the result of maxp(skating),
which is included to save time in the examples.
These objects can be generated by running script
inst/skating.Rmd, which includes some further discussion and
technical documentation. The dataset is interesting because it has
been analysed by many workers, including Lock and Lock, for
consistency between the judges.
Note that file is structured so that each competitor is a row, and
each judge is a column. Function suppfun() requires a
transpose of this to operate.
Object skating_table is an order table, taken from Lock and
Lock. It corrects what appears to be an error in which judge 5 ranked
both Butyrskaya and Kettunen 12; there is no 13. Using EM, I reckon
that Butyrskaya should be ranked twelfth and Kettunen thirteenth.