/MultiEqOptimizer

Creates d-efficient designs that are optimized across multiple supplied equations

Primary LanguageR

MultiEqOptimizer

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MultiEqOptimizer is a package that contains functions used to create single experimental designs jointly optimized for multiple candidate models as described in:

http://dx.doi.org/10.1080/00401706.2012.746207

Contains functions for linear regression and discrete choice logistic models.

Installation

devtools::install_github('taalbrecht/MultiEqOptimizer')

Documentation

TBD

Example

TBD

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