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sparseinv
View on CRAN: Click
here
Download and install sparseinv package within the R console
Install from CRAN:
install.packages("sparseinv")
Install from Github:
library("remotes")
install_github("cran/sparseinv") Install by package version:
library("remotes")
install_version("sparseinv", "0.1.3") Attach the package and use:
library("sparseinv")
Maintained by
Andrew Zammit-Mangion
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-15
Latest Update: 2018-08-23
Description:
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.
How to cite:
Andrew Zammit-Mangion (2018). sparseinv: Computation of the Sparse Inverse Subset. R package version 0.1.3, https://cran.r-project.org/web/packages/sparseinv. Accessed 16 Jul. 2026.
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Complete documentation for sparseinv
Functions, R codes and Examples using
the sparseinv R package
Some associated functions: Takahashi_Davis . cholPermute . cholsolve . cholsolveAQinvAT . densify . sparseinv-package . symb .
Some associated R codes: RcppExports.R . fns.R . sparseinv.R . zzz.R . Full sparseinv package functions and examples
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