eive: An Algorithm for Reducing Errors-in-Variable Bias in Simple Linear Regression

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: 2.3
Imports: Rcpp (≥ 0.11.1)
LinkingTo: Rcpp
Published: 2018-05-16
Author: Mehmet Hakan Satman (PhD), Erkin Diyarbakirlioglu (PhD)
Maintainer: Mehmet Hakan Satman <mhsatman at istanbul.edu.tr>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Citation: eive citation info
CRAN checks: eive results

Downloads:

Reference manual: eive.pdf
Package source: eive_2.3.tar.gz
Windows binaries: r-devel: eive_2.3.zip, r-release: eive_2.3.zip, r-oldrel: eive_2.3.zip
OS X binaries: r-release: eive_2.3.tgz, r-oldrel: eive_2.3.tgz
Old sources: eive archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=eive to link to this page.