Mstep_cd: Maximization step using coordinate descent optimization.

In wbelzak/regDIF: Regularized Differential Item Functioning

Maximization step using coordinate descent optimization.

Description

Maximization step using coordinate descent optimization.

Usage

Mstep_cd(
  p,
  item_data,
  pred_data,
  mean_predictors,
  var_predictors,
  eout,
  item_type,
  pen_type,
  tau_current,
  pen,
  alpha,
  gamma,
  anchor,
  final_control,
  samp_size,
  num_responses,
  num_items,
  num_quad,
  num_predictors,
  num_tau,
  max_tau
)

Arguments

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.
mean_predictors	Possibly different matrix of predictors for the mean impact equation.
var_predictors	Possibly different matrix of predictors for the variance impact equation.
eout	E step output, including matrix for item and impact equations, in addition to theta values (possibly adaptive).
item_type	Optional character value or vector indicating the type of item to be modeled.
pen_type	Character value indicating the penalty function to use.
tau_current	A single numeric value of tau that exists within tau_vec.
pen	Current penalty index.
alpha	Numeric value indicating the alpha parameter in the elastic net penalty function.
gamma	Numeric value indicating the gamma parameter in the MCP function.
anchor	Optional numeric value or vector indicating which item response(s) are anchors (e.g., anchor = 1).
final_control	Control parameters.
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.
num_predictors	Number of predictors.
num_tau	Logical indicating whether the minimum tau value needs to be identified during the regDIF procedure.
max_tau	Logical indicating whether to output the maximum tau value needed to remove all DIF from the model.

Value

a "list" of estimates obtained from the maximization step using univariate Newton-Raphson (i.e., one step of coordinate descent)

wbelzak/regDIF documentation built on Jan. 5, 2023, 9:53 p.m.