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:	3.1.0
Imports:	Rcpp (≥ 0.11.1), compiler (≥ 2.0.0)
LinkingTo:	Rcpp
Suggests:	testthat
Published:	2022-08-05
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

Documentation:

Reference manual:

eive.pdf

Downloads:

Package source:	eive_3.1.0.tar.gz
Windows binaries:	r-devel: eive_3.1.0.zip, r-release: eive_3.1.0.zip, r-oldrel: eive_3.1.0.zip
macOS binaries:	r-release (arm64): eive_3.1.0.tgz, r-oldrel (arm64): eive_3.1.0.tgz, r-release (x86_64): eive_3.1.0.tgz, r-oldrel (x86_64): eive_3.1.0.tgz
Old sources:	eive archive

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