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.
Performs a compact genetic algorithm search to reduce errors-in-variables bias in linear regression. The algorithm estimates the regression parameters with lower biases and higher variances but mean-square errors (MSEs) are reduced.
Version: | 3.1.3 |
Imports: | Rcpp (≥ 0.11.1), compiler (≥ 2.0.0) |
LinkingTo: | Rcpp |
Suggests: | testthat |
Published: | 2023-08-21 |
DOI: | 10.32614/CRAN.package.eive |
Author: | Mehmet Hakan Satman (Ph.D.), Erkin Diyarbakirlioglu (Ph.D.) |
Maintainer: | Mehmet Hakan Satman <mhsatman at istanbul.edu.tr> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
NeedsCompilation: | yes |
Citation: | eive citation info |
Materials: | README |
CRAN checks: | eive results |
Reference manual: | eive.pdf |
Package source: | eive_3.1.3.tar.gz |
Windows binaries: | r-devel: eive_3.1.3.zip, r-release: eive_3.1.3.zip, r-oldrel: eive_3.1.3.zip |
macOS binaries: | r-release (arm64): eive_3.1.3.tgz, r-oldrel (arm64): eive_3.1.3.tgz, r-release (x86_64): eive_3.1.3.tgz, r-oldrel (x86_64): eive_3.1.3.tgz |
Old sources: | eive archive |
Please use the canonical form https://CRAN.R-project.org/package=eive 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.