fit_em: Fit coding models via an EM algorithm
In matthewtyler/CodingModels: What the Package Does (One Line, Title Case)

Estimates parameters of either a BACE, MACE, or DS coding model using coder-object labels

fit_em(
  long_labels,
  model = "BACE",
  max_iter = 1000,
  tol = 1e-06,
  verbose = FALSE
)

`long_labels`	should be a data frame with columns: "ii"object index "jj"coder index "yy"the coder's label for that object because long_labels is in long format, there shouldn't be any missing data
`model`	one of c("BACE", "DS", "MACE")
`max_iter`	maximum number of iterations for the EM algorithm; I would advise not touching this unless you know what you are doing.
`tol`	the algorithm is terminated once the change in average log likelihood (average taken at the object level) is both positive and less than tol.
`verbose`	if TRUE, the function will print status updates during the EM algorithm.