regDIF (version 1.1.1)

information_criteria: 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
)

Value

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

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.