returns the MLE for each case and asymptotic variance given a fixed set of item parameters. This is done by finding the root of the distance between the observed and expected score at theta. That is, the location where O-E = 0.
mleCalc(responses, itemParams,...)
Arguments
responses: a data frame made up of rows of vectors of item responses, one for each case.
itemParams: a list of item designs (each used in a call to simplef). Must be of same length as responses.