Abstract
Functions for exploring the best subsets in regression with a genetic algorithm. The package is much faster than methods relying on complete enumeration, and is suitable for datasets with large number of variables.
Original language | English |
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Publisher | The Comprehensive R Archive Network (CRAN) |
Publication status | Published - 6 Nov 2015 |
MoE publication type | I2 ICT applications |
Keywords
- regression analysis
- genetic algorithm
- programming languages