Constrained Cross-Entropy Objective (with budget penalty)

Usage

objective_entropy_constrained(
  beta,
  X,
  pop_pct,
  u_h_omega,
  n_h_omega,
  pi_h,
  t_omega_1,
  lambda,
  ...
)

beta: A numeric vector of coefficients for the selection probability model.
X: A model matrix for the strata (H rows x K columns).
pop_pct: A numeric vector of the population proportion in each stratum.
u_h_omega: A numeric vector of the number of un-responded units in each stratum.
n_h_omega: A numeric vector of the number of already responded units in each stratum.
pi_h: A numeric vector of the estimated response propensity in each stratum.
t_omega_1: The target number of respondents for the next wave.
lambda: The penalty parameter for the budget constraint.
...: Additional arguments (not used, for compatibility with optimisers).