d_categorical_proxy: Partial derivatives for ordinal items using proxy data.

In regDIF: Regularized Differential Item Functioning

Partial derivatives for ordinal items using proxy data.

Description

Partial derivatives for ordinal items using proxy data.

Usage

d_categorical_proxy(
  parm,
  p_item,
  prox_data,
  pred_data,
  item_data_current,
  thr,
  cov,
  samp_size,
  num_responses_item,
  num_items
)

Arguments

parm	Item parameter being maximized.
p_item	Vector of item parameters.
prox_data	Vector of observed proxy scores.
pred_data	Matrix or dataframe of DIF and/or impact predictors.
item_data_current	Vector of current item responses.
thr	Threshold value being maximized.
cov	Covariate being maximized.
samp_size	Sample size in dataset.
num_responses_item	Number of responses for item.
num_items	Number of items in dataset.

Value

a "list" of first and second partial derivatives for categorical item likelihood (to use with coordinate descent and univariate Newton-Raphson)

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