Convenience wrapper to compute person WLE given a response matrix and
item difficulties, using the C++ implementation. NA in X are allowed.
Usage
wle_estimation(
X,
beta,
max_iter = 100,
tol = 1e-10,
lower_ext = NA_real_,
upper_ext = NA_real_
)
Arguments
- X
Numeric response matrix (0/1) with possible NA.
- beta
Numeric vector of item difficulties, length ncol(X).
- max_iter
Max iterations for person-level NR (default 100).
- tol
Convergence tolerance on NR step size (default 1e-10).
- lower_ext, upper_ext
Optional finite bounds for extreme raw scores.
Value
List with raw_score, wle, standard_error, conv, iterations.