Estep: Expectation step.

In regDIF: Regularized Differential Item Functioning

Expectation step.

Description

Expectation step.

Usage

Estep(
  p,
  item_data,
  pred_data,
  item_type,
  mean_predictors,
  var_predictors,
  theta,
  samp_size,
  num_items,
  num_responses,
  adapt_quad,
  num_quad,
  get_eap,
  NA_cases
)

Arguments

p	List of parameters.
item_data	Matrix or dataframe of item responses.
pred_data	Matrix or dataframe of DIF and/or impact predictors.
item_type	Vector of character values indicating the item type.
mean_predictors	Possibly different matrix of predictors for the mean impact equation.
var_predictors	Possibly different matrix of predictors for the variance impact equation.
theta	Vector of fixed quadrature points.
samp_size	Sample size in dataset.
num_items	Number of items in dataset.
num_responses	Number of responses for each item.
adapt_quad	Logical indicating whether to use adaptive quadrature.
num_quad	Number of quadrature points used for approximating the latent variable.
get_eap	Logical indicating whether to compute EAP scores.
NA_cases	Logical vector indicating missing observations.

Value

a "list" of posterior values from the expectation step

regDIF documentation built on May 29, 2024, 9:31 a.m.