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eigencore  

Certified Partial Eigenvalue and Singular Value Computation
View on CRAN: Click here


Download and install eigencore package within the R console
Install from CRAN:
install.packages("eigencore")

Install from Github:
library("remotes")
install_github("cran/eigencore")

Install by package version:
library("remotes")
install_version("eigencore", "1.0.3")



Attach the package and use:
library("eigencore")
Maintained by
Bradley Buchsbaum
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-25
Latest Update: 2026-07-23
Description:
Computes the top-k singular triplets or eigenpairs of large sparse and structured matrices: the computation behind principal component analysis on big sparse data, spectral embeddings, and low-rank approximation. Every result carries a numerical certificate with residuals, a backward-error bound, orthogonality loss, and a pass/fail flag, and bounds that can only be estimated are reported as such rather than passed. Centered, scaled, and composed operators are solved through native 'C++' kernels without forming dense matrices. Drop-in replacements for the 'RSpectra' interface are included.
How to cite:
Bradley Buchsbaum (2026). eigencore: Certified Partial Eigenvalue and Singular Value Computation. R package version 1.0.3, https://cran.r-project.org/web/packages/eigencore. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-08-26 23:11), 1.0.0 (2026-07-23 16:10), 1.0.1 (2026-07-25 00:20), 1.0.2 (2026-07-26 00:00)
Other packages that cited eigencore R package
View eigencore citation profile
Other R packages that eigencore depends, imports, suggests or enhances
Complete documentation for eigencore
Functions, R codes and Examples using the eigencore R package
Full eigencore package functions and examples
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