Function reference • sparseHessianFD

Package overview
`sparseHessianFD-package`	Estimate sparse Hessians using finite differences of gradients.
The sparseHessianFD class The ‘workhorse’ for defining and computing sparse Hessian matrices.
`sparseHessianFD`	sparseHessianFD
Conversion helpers For decomposing a sparse matrix into points or coordinates
`Matrix.to.Pointers()`	Extract row and column indices, pointers and values from a sparse matrix.
`Matrix.to.Coord()`	Row and column indices from sparse matrix.
`Coord.to.Pointers()`	Convert a matrix defined by row and column indices to one defined by a row- or column-oriented compression scheme.
Coloring algorithm details For internal use. Do not call these directly
`subst()`	Estimate sparse Hessian
`get_colors()`	Vertex coloring of a sparse undirected graph
`coloring()`	Triangular partitioning of variables
Data and functions for examples Functions and data used in the vignettes and examples
`binary-data` `binary_small` `binary_large` `binary_super` `binary_small-data` `binary_large-data` `binary_super-data`	Sample simulated data for binary choice example in vignette
`binary.f()` `binary.grad()` `binary.hess()`	Binary choice example
Deprecated
`Sym.CSC.to.Matrix()` `Coord.to.Sym.Pattern.Matrix()` `Coord.to.Pattern.Matrix()` `new.sparse.hessian.obj()` `sparseHessianFD.new()`	Deprecated functions

Reference