d_bernoulli_itemblock: Partial derivatives for binary items by item-blocks.

In regDIF: Regularized Differential Item Functioning

Partial derivatives for binary items by item-blocks.

Description

Partial derivatives for binary items by item-blocks.

Usage

d_bernoulli_itemblock(
  p_item,
  etable,
  theta,
  pred_data,
  item_data_current,
  samp_size,
  num_items,
  num_predictors,
  num_quad
)

Arguments

p_item	Vector of item parameters.
etable	E-table for item.
theta	Matrix of adaptive theta values.
pred_data	Matrix or dataframe of DIF and/or impact predictors.
item_data_current	Vector of current item responses.
samp_size	Sample size in dataset.
num_items	Number of items in dataset.
num_predictors	Number of predictors in dataset.
num_quad	Number of quadrature points used for approximating the latent variable.

Value

a "list" of first and second partial derivatives for Bernoulli item likelihood (to use with multivariate Newton-Raphson)

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