Enhanced network-based item selection with configurable edge weights

This function extends select_max_dist with flexible edge weight calculations.

Usage

select_max_dist_enhanced(
  pers,
  item,
  resp,
  resp_cur = NULL,
  adj_mat = NULL,
  n_candidates = 1,
  edge_weight_fun = edge_weight_inverse,
  edge_weight_args = list()
)

Arguments

pers: A dataframe of current respondent ability estimates.
item: A dataframe of current item parameter estimates.
resp: A long-form dataframe of all potential pre-simulated item responses.
resp_cur: A long-form dataframe of administered item responses.
adj_mat: An item-item adjacency matrix.
n_candidates: Number of farthest items to consider before applying information criterion.
edge_weight_fun: Function to calculate edge weights from adjacency matrix.
edge_weight_args: Additional arguments for the edge weight function.

Value

A long-form dataframe of all previously administered item responses with the new responses from this iteration appended to the end.