Package: varband 0.9.0

Guo Yu

varband: Variable Banding of Large Precision Matrices

Implementation of the variable banding procedure for modeling local dependence and estimating precision matrices that is introduced in Yu & Bien (2016) and is available at <https://arxiv.org/abs/1604.07451>.

Authors:Guo Yu [aut, cre]

varband_0.9.0.tar.gz
varband_0.9.0.tar.gz(r-4.7-arm64)varband_0.9.0.tar.gz(r-4.7-x86_64)varband_0.9.0.tar.gz(r-4.6-arm64)varband_0.9.0.tar.gz(r-4.6-x86_64)
varband_0.9.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
varband/json (API)
NEWS

# Install 'varband' in R:
install.packages('varband', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hugogogo/varband/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

2.00 score 10 scripts 125 downloads 8 exports 2 dependencies

Last updated from:86c2b24bf9. Checks:4 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE137
linux-devel-x86_64NOTE138
source / vignettesOK183
linux-release-arm64NOTE205
linux-release-x86_64NOTE127
wasm-releaseOK119

Exports:ar_genblock_diag_genmatimagesample_genvarbandvarband_cvvarband_genvarband_path

Dependencies:RcppRcppArmadillo

Using the varband package

Guo Yu

Rendered fromvarband-vignette.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2016-11-07
Started: 2016-11-07