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.
Error variance estimation in ultrahigh dimensional datasets with four different methods, viz. Refitted cross validation, k-fold refitted cross validation, Bootstrap-refitted cross validation, Ensemble method.
Version: | 0.1.0 |
Imports: | SAM, caret, lm.beta, glmnet |
Published: | 2019-09-23 |
DOI: | 10.32614/CRAN.package.varEst |
Author: | Sayanti Guha Majumdar, Anil Rai, Dwijesh Chandra Mishra |
Maintainer: | Sayanti Guha Majumdar <sayanti23gm at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | varEst results |
Reference manual: | varEst.pdf |
Package source: | varEst_0.1.0.tar.gz |
Windows binaries: | r-devel: varEst_0.1.0.zip, r-release: varEst_0.1.0.zip, r-oldrel: varEst_0.1.0.zip |
macOS binaries: | r-release (arm64): varEst_0.1.0.tgz, r-oldrel (arm64): varEst_0.1.0.tgz, r-release (x86_64): varEst_0.1.0.tgz, r-oldrel (x86_64): varEst_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=varEst 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.