Package: sparseinv 0.1.4

Andrew Zammit-Mangion

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_0.1.4.tar.gz
sparseinv_0.1.4.zip(r-4.7-x86_64)sparseinv_0.1.4.zip(r-4.7-arm64)
sparseinv_0.1.4.tar.gz(r-4.7-arm64)sparseinv_0.1.4.tar.gz(r-4.7-x86_64)sparseinv_0.1.4.tar.gz(r-4.6-arm64)sparseinv_0.1.4.tar.gz(r-4.6-x86_64)
sparseinv_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
sparseinv/json (API)

# Install 'sparseinv' in R:
install.packages('sparseinv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.86 score 7 packages 28 scripts 1.2k downloads 6 exports 5 dependencies

Last updated from:9d23eadfd9. Checks:8 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK124
linux-devel-x86_64OK142
source / vignettesOK207
linux-release-arm64OK121
linux-release-x86_64OK152
windows-devel-arm64OK240
windows-devel-x86_64OK119
wasm-releaseOK112

Exports:cholPermutecholsolvecholsolveAQinvATdensifysymbTakahashi_Davis

Dependencies:dotCall64latticeMatrixRcppspam