Estimates Hessian of a scalar-valued function, and returns it in a sparse Matrix format. The sparsity pattern must be known in advance. The algorithm is especially efficient for hierarchical models with a large number of heterogeneous units. See Braun, M. (2017) <doi:10.18637/jss.v082.i10>.
https://anaconda.org/r_test/r-sparsehessianfd/badges/version.svg
https://anaconda.org/r_test/r-sparsehessianfd/badges/latest_release_date.svg
https://anaconda.org/r_test/r-sparsehessianfd/badges/latest_release_relative_date.svg
https://anaconda.org/r_test/r-sparsehessianfd/badges/platforms.svg
https://anaconda.org/r_test/r-sparsehessianfd/badges/license.svg
https://anaconda.org/r_test/r-sparsehessianfd/badges/downloads.svg