tdn158/ElasticSynth: Synthetic controls with elastic net regularization
An R6 object-oriented synthetic controls implementation for comparitive case studies. It utilizes elastic net regression (glmnet) to assign unit weights. Includes cross validation selection mechanism for optimal alpha (L1 and L2 regularization) and lambda (weight penalty).
Getting started
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Package details |
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| Maintainer | |
| License | What license is it under? |
| Version | 0.0.0.9000 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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