getThetaError: Computes the standard error of ability estimation
In LearningRaph/felix: A Computer Adative Testing Wrapping Package

This functions returns the estimated standard error of theta for a given response pattern and a given matrix of item parameters.

getThetaError(
  theta,
  responses,
  parameters,
  D = 1.7,
  model = NULL,
  method = "BM"
)

`theta`	numeric: the ability estimate
`responses`	numeric: vector of responses to previous items
`parameters`	numeric: matrix of the parameters of items with a response
`D`	numeric: metric constant (1 for logistic models, 1.7 for normal models)
`model`	Either NULL for dichotomous models, or one of the following for polytomous models : "GRM", "MGRM", "PCM", "GPCM", "RSM" and "NRM"
`method`	character: ability estimator to choose in the following : "BM", "ML", "WL", "EAP" and "ROB"