| eive-package {eive} | R Documentation |
EIVE - Errors-in-Variable estimation
Description
This package includes functions for compact genetic algorithms and errors-in-variable estimation. The function 'eive' performs a genetic search to reduce the errors-in-variable bias in ordinary least squares estimator.
Change log:
# In version 3.1.2
- Add eive.cga.formula for lm() compatible regression settings.
- Implement roxygen type documentation system
# In version 3.1.1,
- Enhance document for multivariate eive (eivem)
# In version 3.1,
- Errors-in-variables with multiple response variables.
- eive.cga() now returns 2 new items: $cleanx and $measurementerror which are also accessable using the keys $proxy$fitted.values and $proxy$residuals, respectively.
- eivem() added for multiple y values
- new tests added and can be triggered using devtools:::test()
- updated docs
# In version 2.1, more speed improvements by using lm.fit instead lm in critical code.
# In version 2.0, some routines are rewritten in C++ and wrapped using Rcpp so a substantial speed improvement achieved.
Author(s)
Mehmet Hakan Satman <mhsatman@istanbul.edu.tr> Erkin Diyarbakirlioglu <ediyarbakirlioglu@gmail.com>
Maintainer: Mehmet Hakan Satman <mhsatman@istanbul.edu.tr>