Package: sparseinv 0.1.3

sparseinv: Computation of the Sparse Inverse Subset

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.

Authors:Andrew Zammit-Mangion [aut, cre], Timothy Davis [ctb], Patrick Amestoy [ctb], Iain Duff [ctb], John K. Reid [ctb]

sparseinv_0.1.3.tar.gz
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sparseinv.pdf |sparseinv.html✨
sparseinv/json (API)

Peer review:

Bug tracker:https://github.com/andrewzm/sparseinv/issues

On CRAN:

6 exports 1.97 score 5 dependencies 6 dependents 14 scripts 414 downloads

Last updated 6 years agofrom:d9c3f66270. Checks:OK: 4 NOTE: 5. Indexed: yes.

Exports:cholPermutecholsolvecholsolveAQinvATdensifysymbTakahashi_Davis

Dependencies:dotCall64latticeMatrixRcppspam