Generate_Choice: Generate Observed Data from choice model
In cIRT: Choice Item Response Theory

Generate_Choice

R Documentation

Generate Observed Data from choice model

Generates observed cognitive and choice data from the IRT-Thurstone model.

Generate_Choice(
  N,
  J,
  K,
  theta,
  as,
  bs,
  zeta,
  gamma,
  X,
  W,
  subject_ids,
  unique_subject_ids
)

`N`	An `integer` for the number of observations.
`J`	An `integer` for the number of items.
`K`	An `integer` for the number of paired comparisons.
`theta`	A `vector` of latent cognitive variables.
`as`	A `vector` of length J with item discriminations.
`bs`	A `vector` of length J with item locations.
`zeta`	A `matrix` with dimensions N x V containing random parameter estimates.
`gamma`	A `vector` with dimensions P x 1 containing fixed parameter estimates, where `P = P_1 + P_2`
`X`	A `matrix` with dimensions N*K x P_1 containing fixed effect design matrix without theta.
`W`	A `matrix` with dimensions N*K x V containing random effect variables.
`subject_ids`	A `vector` with length NK x 1 containing subject-choice IDs.
`unique_subject_ids`	A `vector` with length N x 1 containing unique subject IDs.