d_gaussian_itemblock {regDIF} | R Documentation |
Partial derivatives for continuous items.
Description
Partial derivatives for continuous items.
Usage
d_gaussian_itemblock(
p_item,
etable,
theta,
responses_item,
pred_data,
samp_size,
num_items,
num_quad,
num_predictors
)
Arguments
p_item |
Vector of item parameters. |
etable |
E-table. |
theta |
Matrix of adaptive theta values. |
responses_item |
Vector of item responses. |
pred_data |
Matrix or dataframe of DIF and/or impact predictors. |
samp_size |
Sample size in dataset. |
num_items |
Number of items in dataset. |
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 mean value of Gaussian item
likelihood (to use with coordinate descent and univariate Newton-Raphson)
[Package regDIF version 1.1.1 Index]