Package: FastBandChol 0.1.1

Aaron Molstad

FastBandChol: Fast Estimation of a Covariance Matrix by Banding the Cholesky Factor

Fast and numerically stable estimation of a covariance matrix by banding the Cholesky factor using a modified Gram-Schmidt algorithm implemented in RcppArmadilo. See <http://stat.umn.edu/~molst029> for details on the algorithm.

Authors:Aaron Molstad <[email protected]>

FastBandChol_0.1.1.tar.gz
FastBandChol_0.1.1.tar.gz(r-4.7-arm64)FastBandChol_0.1.1.tar.gz(r-4.7-x86_64)FastBandChol_0.1.1.tar.gz(r-4.6-arm64)FastBandChol_0.1.1.tar.gz(r-4.6-x86_64)
FastBandChol_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
FastBandChol/json (API)

# Install 'FastBandChol' in R:
install.packages('FastBandChol', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • 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.

openblascpp

1.00 score 5 scripts 151 downloads 4 exports 2 dependencies

Last updated from:5807b06168. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK114
linux-devel-x86_64OK110
source / vignettesOK145
linux-release-arm64OK119
linux-release-x86_64OK113
wasm-releaseOK102

Exports:banded.cholbanded.chol.cvbanded.samplebanded.sample.cv

Dependencies:RcppRcppArmadillo