Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Laplace algorithm computes Hessian at the mode, but it is not available for the user. The Hessian would be useful for
computing the normalization term of the normal approximation, which would help to estimate marginal likelihood (we have a use case)
computing normal approximation based sd and SE without drawing from the normal distribution, which would be useful for very big data and close to normal posterior
for algorithm development for algorithms that start with mode and Hessian, like CCD
Laplace algorithm computes Hessian at the mode, but it is not available for the user. The Hessian would be useful for