The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Solves system of linear equations using (preconditioned) conjugate gradient algorithm, with improved efficiency using Armadillo templated 'C++' linear algebra library, and flexibility for user-specified preconditioning method. Please check <https://github.com/styvon/cPCG> for latest updates.
| Version: | 1.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | Rcpp (≥ 0.12.19) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown |
| Published: | 2019-01-11 |
| Author: | Yongwen Zhuang |
| Maintainer: | Yongwen Zhuang <zyongwen at umich.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | cPCG results |
| Reference manual: | cPCG.pdf |
| Vignettes: |
cpcg-intro |
| Package source: | cPCG_1.0.tar.gz |
| Windows binaries: | r-devel: cPCG_1.0.zip, r-release: cPCG_1.0.zip, r-oldrel: cPCG_1.0.zip |
| macOS binaries: | r-release (arm64): cPCG_1.0.tgz, r-oldrel (arm64): cPCG_1.0.tgz, r-release (x86_64): cPCG_1.0.tgz, r-oldrel (x86_64): cPCG_1.0.tgz |
| Reverse suggests: | MoBPS |
Please use the canonical form https://CRAN.R-project.org/package=cPCG to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.