information_criteria: Maximization step.

In regDIF: Regularized Differential Item Functioning

Maximization step.

Description

Maximization step.

Usage

information_criteria(
  eout,
  p,
  item_data,
  pred_data,
  prox_data,
  mean_predictors,
  var_predictors,
  item_type,
  gamma,
  samp_size,
  num_responses,
  num_items,
  num_quad
)

Arguments

eout	E-table output.
p	List of parameters.
item_data	Matrix or data.frame of item responses.
pred_data	Matrix or data.frame of DIF and/or impact predictors.
prox_data	Vector of observed proxy scores.
mean_predictors	Possibly different matrix of predictors for the mean impact equation.
var_predictors	Possibly different matrix of predictors for the variance impact equation.
item_type	Optional character value or vector indicating the type of item to be modeled.
gamma	Numeric value indicating the gamma parameter in the MCP function.
samp_size	Sample size in data set.
num_responses	Number of responses for each item.
num_items	Number of items in data set.
num_quad	Number of quadrature points used for approximating the latent variable.

Value

a "list" of information criteria to use for model selection

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