@@ -42,7 +42,7 @@ struct bernoulli_logit_likelihood {
4242 template <typename ThetaVec, typename YVec, typename Mean>
4343 inline auto operator ()(const ThetaVec& theta, const YVec& y,
4444 const std::vector<int >& y_index, Mean&& mean,
45- std::ostream* pstream ) const {
45+ std::ostream* msgs ) const {
4646 Eigen::VectorXd counts_per_group = Eigen::VectorXd::Zero (theta.size ());
4747 Eigen::VectorXd n_per_group = Eigen::VectorXd::Zero (theta.size ());
4848
@@ -116,13 +116,13 @@ inline auto laplace_marginal_tol_bernoulli_logit_lpmf(
116116template <bool propto = false , typename Mean, typename CovarFun,
117117 typename CovarArgs>
118118inline auto laplace_marginal_bernoulli_logit_lpmf (
119- const std::vector<int >& y, const std::vector<int >& n_samples , Mean&& mean,
119+ const std::vector<int >& y, const std::vector<int >& y_index , Mean&& mean,
120120 int hessian_block_size, CovarFun&& covariance_function,
121121 CovarArgs&& covar_args, std::ostream* msgs) {
122122 auto options = laplace_options_default{hessian_block_size};
123123 return laplace_marginal_density (
124124 bernoulli_logit_likelihood{},
125- std::forward_as_tuple (to_vector (y), n_samples , std::forward<Mean>(mean)),
125+ std::forward_as_tuple (to_vector (y), y_index , std::forward<Mean>(mean)),
126126 std::forward<CovarFun>(covariance_function),
127127 std::forward<CovarArgs>(covar_args), options, msgs);
128128}
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