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Fit an experimental pre-pilot item-parameter seeding model

Source: R/062-context-process-structure-0-8.R
fit_item_parameter_seed_model.Rd

Estimates screening predictions for item difficulty/discrimination from item design/process features. Predictions are not calibrated operational parameters.

Usage

fit_item_parameter_seed_model(
  item_data,
  difficulty = "irt_difficulty",
  discrimination = "irt_discrimination",
  predictors,
  engine = c("auto", "ranger", "lm"),
  seed = 2221
)

Arguments

item_data

Calibrated item-level training data.

difficulty, discrimination

Target columns.

predictors

Design/process predictors.

engine

`auto`, `ranger`, or `lm`.

seed

Seed.