Computation of the Sparse Inverse Subset R package sparseinv version 0.1.4 Creates a wrapper for the 'SuiteSparse' routines that execute the Takahashi equations. These equations compute the elements of the inverse of a sparse matrix at locations where the its Cholesky factor is structurally non-zero. The resulting matrix is known as a sparse inverse subset. Some helper functions are also implemented. Support for spam matrices is currently limited and will be implemented in the future. See Rue and Martino (2007) <doi:10.1016/j.jspi.2006.07.016> and Zammit-Mangion and Rougier (2018) <doi:10.1016/j.csda.2018.02.001> for the application of these equations to statistics. Software Depends: R (>= 3.1) Imports: Matrix, methods, Rcpp, spam LinkingTo: Rcpp Suggests: covr, testthat Andrew Zammit-Mangion <andrewzm@gmail.com> Comprehensive R Archive Network (CRAN) Andrew Zammit-Mangion [aut, cre], Timothy Davis [ctb], Patrick Amestoy [ctb], Iain Duff [ctb], John K. Reid [ctb] GPL (>= 2.1) 2026-07-20 application/tgz https://CRAN.R-project.org/package=sparseinv doi:10.32614/CRAN.package.sparseinv