Function reference • sparseMVN

Package overview
`sparseMVN-package`	Multivariate Normal Functions for Sparse Covariate and Precision Matrices
The main event The ‘workhorse’ functions for sampling and computing densities.
`dmvn.sparse()`	Compute density from multivariate normal distribution
`rmvn.sparse()`	Sample from multivariate normal distribution
Data and functions for examples Functions and data used in the vignettes and examples
`binary.f()` `binary.grad()` `binary.hess()` `binary.sim()`	Binary choice example

Reference