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An Algorithm for Reducing Errors-in-Variable Bias in Simple and Multiple Linear Regressions

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.

Versions across snapshots

VersionRepositoryFileSize
3.1.3 rolling linux/jammy R-4.5 eive_3.1.3.tar.gz 66.4 KiB
3.1.3 rolling linux/noble R-4.5 eive_3.1.3.tar.gz 67.2 KiB
3.1.3 rolling source/ R- eive_3.1.3.tar.gz 13.0 KiB
3.1.3 latest linux/jammy R-4.5 eive_3.1.3.tar.gz 66.4 KiB
3.1.3 latest linux/noble R-4.5 eive_3.1.3.tar.gz 67.2 KiB
3.1.3 latest source/ R- eive_3.1.3.tar.gz 13.0 KiB
3.1.3 2026-04-26 source/ R- eive_3.1.3.tar.gz 13.0 KiB
3.1.3 2026-04-23 source/ R- eive_3.1.3.tar.gz 13.0 KiB
3.1.3 2026-04-09 windows/windows R-4.5 eive_3.1.3.zip 389.1 KiB
3.1.3 2025-04-20 source/ R- eive_3.1.3.tar.gz 13.0 KiB

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