iec.filter: Filter the given items down to the best N rows, as defined by...
In yuehmeir2/CATSimulator: Library for Simulation of Adaptive Item Selection

Description Usage Arguments Value Examples

Filter the given items down to the best N rows, as defined by the simulation.

1	iec.filter(balancedModuleIndices, simulation)

`balancedModuleIndices`	A vector of indices, which are candidates for selection sorted by their value to the simulee.
`simulation`	An object defining the test that is being run.

The balancedModuleIndices, filtered to the best N values.

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  simulation = initSimulation(readRDS(system.file("example/passage-adaptive-wpm.rds", package = "CATSimulator")))
  balancedModuleIndices = sample(1:nrow(simulation$modules), 4)
  candidateModuleIndices = iec.filter(balancedModuleIndices, simulation)