Danish general election prediction competition

This is for submitting entries for predictoin the distribution of legal votes in the upcoming Danish election. The rules of the competition is as follows:

• The competition is about predicting the votes given to each of the parties eligible for the Danish parliament.

• The deadline for submitting entries is May 31st 2019 at midnight (CET).

• A submission consists of a pull request to this repository with an R data object saved with save(). Name the R object and the file the same, and don't use a name that is already in use.

• Each person should only submit one entry

• A prediction consists of a data frame with two columns: party and percent. The percent column will subsequently be scaled such that it sums to 100.

  A blueprint for an R object to submit is

  mypred <- data.frame(party=c("A", "B", "C", "D", "E", "F", "I", "K", "O", "P", "V", "OE", "AA"),
                       percent=rep(1/13, 13))
  

• Each prediction is score by the Brier score: the mean squared prediction error when comparing to the actual distribution of votes after the election. Smallest score wins.