Internal: observed-data marginal log-likelihood for a binary MBMM gate

Computes

Usage

.mbmm_obs_ll_binary(beta, X, logL_pos, logL_neg)

Details

$$ \ell(\beta) = \sum_i \log\left[ \pi_i(\beta)L_{i1} + \{1-\pi_i(\beta)\}L_{i0} \right]. $$

This function returns the unpenalized observed-data likelihood.