domc_analytical: Probability that a DOMC item is solved correctly given...
In m-Py/DOTA2: Discrete option test analysis

Description Usage Arguments Value Author(s)

This function can be used to analytically determine the expected probability that a DOMC item is solved correctly, as opposed to the simulation approach used in workDOMCItem

1 2	domc_analytical(accuracy, criterionVector, n_options = NULL, item = NULL, sd_sol = 1)

`accuracy`	Accuracy value of an assumed test taker
`criterionVector`	The test taker's criterion vector; pass as in `createTestTaker`
`n_options`	number of answer options in the MC item; only pass if item parameter is not specified
`item`	Can be passed instead of n_options - pass a vector of 0 and 1, which indicate the sequence of answer options, in particular the solution position
`sd_sol`	Standard deviation of the solution distribution. Distractor SD is always 1