Conditional censored-normal calibration for bounded process measurements

Fits the 2026 censored-normal response form item-by-item conditional on a supplied latent score. This is a useful calibration/diagnostic engine for bounded continuous process variables such as AOI proportions. It is NOT the paper's full marginal EM estimator and should therefore remain experimental.

Usage

fit_censored_normal_process_irt(
  response_matrix,
  theta,
  lower = 0,
  upper = 1,
  control = list(maxit = 1000)
)

Arguments

response_matrix

Person x item bounded continuous matrix.

theta

Supplied person latent scores on the calibration scale.

lower, upper

Observable bounds.

control

`optim()` control list.