d_impact_block: Partial derivatives for mean and variance impact equation.

In regDIF: Regularized Differential Item Functioning

Partial derivatives for mean and variance impact equation.

Description

Partial derivatives for mean and variance impact equation.

Usage

d_impact_block(
  p_mean,
  p_var,
  etable,
  theta,
  mean_predictors,
  var_predictors,
  samp_size,
  num_items,
  num_quad,
  num_predictors
)

Arguments

p_mean	Vector of mean impact parameters.
p_var	Vector of variance impact parameters.
etable	E-table for impact.
theta	Matrix of adaptive theta values.
mean_predictors	Possibly different matrix of predictors for the mean impact equation.
var_predictors	Possibly different matrix of predictors for the variance impact equation.
samp_size	Sample size in data set.
num_items	Number of items in data set.
num_quad	Number of quadrature points used for approximating the latent variable.
num_predictors	Number of predictors in dataset.

Value

a "list" of first and second partial derivatives for impact equation (to use with multivariate Newton-Raphson)

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